Journal articles: 'Maintenance Focused Design Models' – Grafiati (2024)

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This article focuses on the fact that by inserting digital humans into that virtual world—or stepping into it themselves—engineers have found new ways to test designs for ergonomics, manufacturability, maintainability, safety, and style. The goal, of course, is to design better, higher quality products faster and cheaper by getting everyone from manufacturing and quality through safety and maintenance involved in the process before settling on a design. The approach, called concurrent engineering, has been talked about since the quality revolution in the 1980s. Digital humans provide important insights into the design of production and assembly equipment. By simulating the task with large digital populations, safety engineers can determine before a machine goes into production whether anyone is likely to circumvent its safety features. One way to overcome behavior barriers is to put real people in simulations.

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Purpose – A major role of facilities management is ensuring the useability, reliability, and safety of the asset being managed. To achieve this management must use a system to control the maintenance function. The purpose of the paper is to identify and describe the various maintenance management models and systems available for facilities managers to consider. Design/methodology/approach – Two comprehensive reviews of the literature were undertaken to categorise the various maintenance management models and identify popular models in practice. Findings – The review identified 37 maintenance management models. From these, four were found to be popular: total productive maintenance (TPM), condition-based maintenance (CBM), reliability-centred maintenance (RCM), and condition monitoring (CM). While many thousands of papers can be found of these four models, the support in the literature for the remaining 33 models is very limited. Research limitations/implications – While providing a sound foundation for future research, the papers findings are based solely on reviewing literature. Practical implications – For facilities managers seeking to expand their knowledge of a particular model or maintenance management systems in general, the paper provides a practical understanding. Originality/value – Papers focused solely on identifying and describing maintenance management models are scarce and this paper makes a concerted attempt to link academic research with management practitioners.

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Fatigue damage of structural details in essence may be attributed to the consequences of the traditional approach of securing the reliability of structures when the design and maintenance are provided by different groups of experts with different principles and different professional training. Progress may be achieved when the whole life-cycle reliability of a structure is provided uniformly in the design and service cycles. A series of actions and appropriate fatigue models composing an automated system to aid in the design and maintenance of ship structures is proposed. Considering the existing and feasible actions, attention is focused on the fatigue design and post-fabrication assessment of fatigue properties at critical locations.

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The Operation and Maintenance (O&M) phase can account for as much as 80% of the overall lifecycle cost of a project. The inputs from O&M practitioners are often not incorporated during the design phase leading to maintainability issues during the O&M phase, which results in significant costs and hinders building performance. Traditionally, design communication with practitioners is conducted using 2D drawings and in some more advanced projects, with Building Information Models (BIMs). Virtual Reality (VR) has the potential to facilitate maintainability-focused design input from O&M practitioners, but this application has not been studied in detail. This paper addresses the gap by examining the usability of VR for providing access-related maintainability inputs. A quasi-experimental approach was adopted to evaluate the difference in access-related inputs provided by sixteen O&M practitioners, once using 2D drawings and BIM and again using VR. We assessed the variation in time for O&M practitioners to provide the inputs and the perceived quality of the inputs using the two design communication methods. We also examined the effect of practitioners' years of experience on providing access-related maintainability inputs using VR. The results suggest that there was no statistically significant difference in the access-related maintainability inputs provided using the two design communication methods, which demonstrates that O&M practitioners could provide similar access-related inputs using VR and traditional means of communication using 2D drawings and 3D models. The results also show that O&M practitioners were able to provide inputs significantly faster using VR. The O&M practitioners also reported that VR facilitated ease of use and high confidence in their inputs. Furthermore, the practitioners' years of experience did not lead to any variation in the access-related inputs provided and the time efficiency of providing the inputs. While the small sample size limits the generalizability of the results, the study acts as a proof of concept on the usability of VR for improving O&M practitioner input on the maintainability of building designs.

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Purpose – Maintenance and its management has moved from being considered a “necessary evil” to being of strategic importance for most competitive organisations around the world. In terms of the identification and use of organisational-wide maintenance management models the picture is not clears from both a literature and practical perspective. The purpose of this paper is to shed light on the various models and their use in real-world applications, and in doing so, explores the gap between academic research and practice. Design/methodology/approach – For this paper two comprehensive reviews of the literature were undertaken, first, to identify and categorise the various maintenance management models, and second, to determine the depth of empirical evidence for the popular models in real-world applications. Descriptive analysis of both the practical examples and empirical evidence rates (EER) for maintenance related journals is provided. Findings – Within the literature 37 maintenance management models were identified and categorised. From these, three models were found to be popular: total productive maintenance (TPM), condition based maintenance, and reliability centred maintenance. While several thousand papers discussed these three models, only 82 articles were found to provide empirical evidence. Research limitations/implications – While providing a sound foundation for future research the outcomes are based solely on academic literature. Analysis of EER outside the field of maintenance is needed to make comparisons. Practical implications – The paper offers practitioners a detailed contemporary overview of maintenance management models along with tabulated results of practical examples to present day organisations. Such practical-focused papers are very limited within academic literature. Social implications – With EER as low as 1.5 per cent for some journals this paper acts as a reminder to researchers that they have an obligation to society to spend taxpayer funded research on addressing social needs and real-world problems. Originality/value – This paper makes a concerted attempt to link academic research with management and operational practitioners. While the paper is critical of the current academic imbalance between theory and practice, a number of suggestions to improve EER are offered in the conclusions.

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Building Information Modeling (BIM) is recognized as being meaningful during the design and construction phases, but also can play an essential role in providing essential information about the facility or managing buildings’ life cycle. BIM is intended to improve different areas, as space management, energy efficiency, corrective and preventive maintenance among others. This paper presents a recent BIM implementation project focused on facility management (FM), covering the building plan approach, 3D modeling and information recording. Specifically, it describes the connection between 3D models and existing operating systems for carrying out maintenance and supervision, gathering information from maintenance database and real-time data from the existing controllers’ network. This article also describes the implementation process, along with the issues found and adopted resolutions. Keywords: Building Information Modeling; BIM; Facility Management; FM;

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The study aims to provide a Bayesian statistical method with natural conjugate for facilities’ preventive maintenance scheduling related to the hybrid competing failure mode. An effective preventive maintenance strategy not only can improve a system’s health condition but also can increase a system’s efficiency, and therefore a firm needs to make an appropriate strategy for increasing the utilization of a system with reasonable costs. In the last decades, preventive maintenance issues of deteriorating systems have been studied in the related literature, and hundreds of maintenance/replacement models have been created. However, few studies focused on the issue of hybrid deteriorating systems which are composed of maintainable and non-maintainable failure modes. Moreover, due to the situations of the scarcity of historical failure data, the related analyses of preventive maintenance would be difficult to perform. Based on the above two reasons, this study proposed a Bayesian statistical method to deal with such preventive maintenance problems. Non-hom*ogeneous Poisson processes (NHPP) with power law failure intensity functions are employed to describe the system’s deterioration behavior. Accordingly, the study can provide useful ways to help managers to make effective decisions for preventive maintenance. To apply the proposed models in actual cases, the study provides solution algorithms and a computerized architecture design for decision-makers to realize the computerization of decision-making.

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Background:Current clinical models emphasize certain cognitive processes in the maintenance of distressing paranoia. While a number of these processes have been examined in detail, the role of strategic cognition and self-focused attention remain under-researched.Aims:This study examined the deployment of cognitive strategies and self-focused attention in people with non-clinical paranoia.Method:An experimental design was used to examine the impact of a threat activation task on these processes, in participants with high and low non-clinical paranoia. Twenty-eight people were recruited to each group, and completed measures of anxiety, paranoid cognition, strategic cognition and self-focused attention.Results:The threat activation task was effective in increasing anxiety in people with high and low non-clinical paranoia. The high paranoia group experienced more paranoid cognitions following threat activation. This group also reported greater use of thought suppression, punishment and worry, and less use of social control strategies when under threat. No differences were found between the groups on measures of self-focused attention.Conclusions:This study shows that the threat activation task increased anxiety in people with high non-clinical paranoia, leading to increased paranoid thinking. The use of strategic cognition following threat activation varied dependent on level of non-clinical paranoia. If these differences are replicated in clinical groups, the strategies may be implicated in the maintenance of distressing psychosis, and may therefore be a valuable target for therapeutic intervention.

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Pumping station (PS) designs in water networks basically contemplate technical and economic aspects. Technical aspects could be related to the number of pumps in PS and the operational modes of PS. Meanwhile, economic aspects could be related to all the costs that intervene in a PS design, such as investment, operational and maintenance costs. In general, water network designs are usually focused on optimizing operational costs or investment costs, However, some subjective technical aspects have not been approached, such as determining the most suitable pump model, the most suitable number of pumps and the complexity of control system operation in a PS design. Therefore, the present work aims to select the most suitable pump model and determine the priorities that technical and economic factors could have in a PS design by a multi-criteria analysis, such as an analytic hierarchy process (AHP). The proposed work will contemplate two main criteria, and every criterion will be integrated by sub-criteria to design a PS. In this way, technical factors (number of pumps and complexity of the operating system) and economic factors (investment, operational and maintenance costs) will be considered for a PS design. The proposed methodology consists of realizing surveys to a different group of experts that determines the importance of one criterion over each other criterion in a PS design through pairwise comparisons. Finally, this methodology will provide importance weight for the criteria and sub-criteria on the PS. Besides, this work will perform a rating of the considered alternatives of pump models in every case study, evaluating quantitatively every alternative with every criterion in the PS design. The main objective of this work will select the most adequate pump model according to the obtained rating, considering technical and economic aspects in every case study.

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The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.

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This paper particularly addresses the market implementation of Fibre Reinforced Polymer (FRP) for bridges. It presents the concept of demand and supply chain innovation as being investigated within two ongoing European collaborative research projects (FP7) titled Trans-IND and PANTURA. FRP has emerged as a real alternative structural material based on various sustainability considerations, among others the reduced life-cycle cost due to less maintenance needs, longer lifetime, and easiness to repair, replace, or recycle the components. The Trans-IND research project aims to develop and demonstrate new industrialized processes to use FRP for civil infrastructure projects at a large scale. In order to be cost effective, a new value-chain strategy for the design, realization, and maintenance of FRP bridges is required to replace the fragmented supply chain and the one-off approach to a construction project. This paper focuses on the development of new business models based on asset management strategy, which covers the entire demand and supply chains. Research on new business models is supported by the insight into the market and regulatory frameworks in different EU countries. This is based on field surveys across the EU that have been carried out as a part of the Trans-IND and PANTURA collaborative research projects.

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Abstract In the lifecycle of a building, the longest phase is generally that of operation and maintenance (O&M). The data needed to support O&M is mainly generated during the design, construction, and commissioning of the built asset phases. However, the extraction and transfer of relevant O&M data from the project documents remain a major issue in that it is time consuming and error prone. Nowadays, Building Information Modeling (BIM) allows different project team members to collaborate and share building data in real time. However, as-built models handed-over to the asset management team are quite voluminous and usually lack the necessary information for the O&M phase. This is due to an absence of O&M information requirements specification, and the lack of compliance monitoring and control during the project. This paper presents an action research focused on the issues encountered by a public building owner to manage their BIM processes. It demonstrates issues of BIM readiness and capabilities, both at the project and O&M levels, by mapping the gaps in the existing processes. Building owners rely on the design professionals’ expertise to guide them but do not have the adequate resources, knowledge, and tools to ensure the quality of the models delivered regarding O&M requirements. Major issues in the management of information for O&M were identified, and some recommendations are proposed.

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The networked operation of Urban Rail Transit (URT) brings the new challenge of network-wide maintenance. This research focuses on the URT Network-Wide Maintenance Decision-Making Problem (URT-NMDP), including regionalized maintenance network design and maintenance resource allocation. In this work, we proposed a bi-objective integer programming model that integrates the characteristics of set coverage and P-median models, resulting in the regionalized maintenance network design model. Some critical factors are considered in the model, such as the importance of node, the maximum failure response time, and maintenance guarantee rules. We designed a NSGA-II based algorithm to solve the model. Moreover, due to the uncertainty of failures in the URT network, we developed the method of allocating maintenance resources based on Monte Carlo simulation to strengthen the reliability of the regionalized maintenance network. With the model and algorithm presented in this work, we obtained Pareto optimal solutions of URT-NMDP, i.e., URT network-wide maintenance planning schemes, which include the number and location of maintenance points, the allocation of demand points, and the amount of maintenance units. Finally, a real-world case is studied to evaluate the operating performance of these schemes for verifying the method in our paper. The results of the case study demonstrate that the reasonable and tested-in-practice maximum failure response time is the precondition for the efficient URT maintenance network. The maintenance scheme considered the weighted importance of node shows the optimal performance, with the shortest overall maintenance path and the minimum average failure response time and investment cost on maintenance resources.

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Service provision for Afridev handpumps through community management in Malawi is a notable challenge. Essential preventative maintenance is often neglected, and repairs are undertaken on a reactive basis. The costs of major repairs are not recognized at community level and are typically neglected across the lifecycle of infrastructure or left to external stakeholders. The aim of this study was to investigate preventative maintenance and capital maintenance expenditure over the 15-year design lifecycle of 21,997 Afridev handpumps in Malawi, and how costs change based on different local tariff collection scenarios. A total of four tariff collection scenarios were investigated, for assets both subject and not subject to rehabilitation. The findings highlight poor initial capacity building into appropriate cost recovery and maintenance approaches. Major repair costs increase over the pump lifecycle when service consists of the replacement of low-cost, fast-wearing parts. Rehabilitation/major repair costs increase as a result but tend to be focused on simple longer-life components, such as pump rods. In both cases, a reliance on external support was highlighted, as larger costs are primarily covered by donors and Non-Governmental Organisations (NGOs). Proactive tariff scenarios may provide a greater capability of replacement throughout the lifecycle of major items when compared to reactive tariff scenarios. It is recommended that policy and practitioners should focus on capacity building of sustainable maintenance models that consider the full lifecycle costs of assets.

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Engineering design activities (EDA) demonstrating the science and technology for the International Thermonuclear Experimental Reactor (ITER), are being conducted based on the four-party international collaboration of Japan (JA), the U.S.A (US), Europe (EU), and Russia (RF). EDA basically concerns engineering design required for ITER construction and technical development confirming design feasibility. In engineering R&D design, the central role is being played by an International Joint Design Team (JCT) consisting of scientists and engineers from the four parties, conducting work on detailed component design, buildings and plant facilities design, safety analysis and evaluation, and comprehensive overall system design. In engineering R&D, whose final objective is to demonstrate engineering technology necessary for ITER construction, a wide variety of technical development ranging from data acquisition on material characteristics to verification of system performance is being conducted through equal participation of the four parties. Because of the importance of principal ITER components, such as superconducting coils, vacuum vessel, in-vessel components such as diverters and blankets, and remote maintenance equipment, a large-scale project has been set up for manufacturing prototypes, including full-scale models, and for demonstrating performance. In-vessel components such as blankets and divertors are exposed radioactivity of 14 MeV neutrons due to DT operation, and therefore must be maintained or replaced remotely. Plansbased on stage-by-stage ITER operation call for shielding blankets to be replaced by blankets for breeding tritium. Diverters require scheduled maintenance and replacement because they are subjected to severe plasma heat and particle loads. For in-vessel components that undergo scheduled maintenance, remote maintenance is an important technical issue that may affect the performance of ITER, so component structures and layout consistent with remote handling receive top priority and will be subjected to remote maintenance demonstration-testing of using full-scale models. Remote ITER maintenance focuses on technologies involving radiation-hard devices designed for a gamma radiation environment, remote operation and metrology and control for precisely handling heavy in-vessel payloads, and welding and cutting and inspection in narrow confines. Thus, use must be made of robot technologies in Japan and a design concept conceived that meets unique ITER needs. Because device handling precision, the working environment, and other factors surpass conventional technical levels, technical data on large-scale tokamaks, experience in handling heavy payloads in industry, and nuclear field environmental resistance must be studied and system development, including technical demonstrations, conducted on a full engineering scale. This is the backer of ITER device design and development. Good prospects exist for developing a large number of remote maintenance equipment satisfying ITER specifications through the development of a new remote maintenance concept that calls for the handling of heavy payloads with high precision, the acquisition of technical data confirming concept feasibility, the development of components having 2 to 3 times higher resistance to radiation than anything available previously, and the development of remote maintenance based tools that cut, weld, and inspect in narrow confines. In final development, steady progress is being made in fabricating, testing, and demonstrating full-scale remote maintenance. This Special Issue summarizes these achievements and provides an overview of the remote maintenance design on in-vessel components, introducing current status and plans on remote maintenance technology in which the Japan Home Teams is engaged in. Topics covered include the following: 1. Remote Maintenance Development for ITER 2. Blanket Remote Maintenance Development 3. Diverter Remote Maintenance Development 4. In-Vessel Metrology and Viewing Development 5. Pipe Welding and Cutting Tool Development 6. Pipe Inspection Tool Development 7. Thick-Plate Welding and Cutting Tool Development 8. Radiation-Hard Component Development 9. Standard Component Development 10. Data Acquisition and Control

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Purpose One of the most critical infrastructures is a data center (DC) because of it having many servers, computers and other equipment. DCs provide online services for various companies in the information technology (IT) industry. DC facilities should provide reliable online services while addressing the required quality and performance level considering maximum reliability and availability. The purpose of this study is to represent and classify the main findings in this area and to identify the main research gaps and shortcomings from the perspective of research. Design/methodology/approach This paper provides an organized and systematic literature review focusing on topics regarding the operation and maintenance (O&M) management of DCs. Findings Although there are several studies on O&M management systems for industrial systems and facilities, a limited number of studies with few methods and models have focused on DCs so far and these facilities require more attention. This paper identifies the issues and challenges for DC buildings and facilities and provides a conclusion of the findings to highlight the main research limitations for discovering new potential methods as future research opportunities. Research limitations/implications The paper has highlighted the main practical issues of DCs in terms of maintenance management. Several research works have been discussed specifically for DC’s maintenance, which makes this paper a credible source for researchers, maintenance managers and companies involved in the area of DC. Because several of the reviewed literature were based on real case studies, decision-makers in the DC maintenance sector can take advantage of new research on maintenance scheduling to reduce the costs of maintenance. Originality/value The paper has presented a comprehensive list of frequent keywords in recent publications related to O&M management for DCs. It has provided a categorized list of publications based on by their topic, methodology and case study. Because this paper has discussed research works specifically for DC’s maintenance, it is a credible source for researchers, maintenance managers and companies involved in the area of DCs.

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This paper describes the conceptual framework and implementation of a prototype for a GIS-based Information System for Watershed Monitoring and Planning in the state of Mato Grosso, Central Brazil. The system was developed to support the implementation of water resources management policies passed by Brazilian federal and state legislatures in 1997.The first phase of the information system development was focused on database design, to create modules for the storage and pre-processing of diverse environmental data sets and for georeferenced registration and control of water users. The GIS environment includes tools for data mining and integrating the NGFlow and QUAL2E models for river runoff and water quality simulation; these tools were successfully validated in the Cuiabá River basin. To guarantee acceptance and continuity of system maintenance in regions under development, GIS applications for watershed management should be component-based. They should also integrate models with robustness for input data that are poor in consistency and quality. Finally, they should be implemented with development tools already used by local technical staff and have a high degree of user friendliness.

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Digitalization brings challenges and new opportunities to the development of landscape gardening, “smart gardening,” which is a product of landscape gardening in response to the development of the digital era. Based on the multimodal intelligent computing method and deep neural network machine learning algorithm, this paper adopts “digital landscape design logic” to analyze and research smart gardens and digital design. The digital landscape design process and methods are discussed based on design logic, design basis, environment analysis, and results presentation, and the greenery maintenance scheduling system is constructed. The paper focuses on the digital implementation of the environmental analysis of the site and uses Rhino software and Grasshopper visual programming language to build parametric logic, establish parametric analysis models, and conduct a comprehensive analysis of the current environment. The main theme of the whole paper is a logical approach to digital landscape design for smart gardens, using digital technology tools from the perspective of smart garden thinking, combining quantitative analysis and qualitative design, and intervening in digital landscape garden planning and design to explore the application of digital technology and tools.

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This paper focuses on the analysis and control of a semi-active suspension for light-weight vehicles with small compact car body. The suspension was chosen due to its small system space, low complexity and easy maintenance. A new magneto rheological damper was designed and validated by computer simulation. After that, models of a quarter-car suspension with air spring and the new damper were built. Due to the nonlinear dynamic phenomena of system components, a self-tuning fuzzy logic controller was developed. Simulation results showed that the designed suspension system with its controller had good performance in vibration suppression on various operation conditions.

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Purpose – The purpose of this paper is to develop a systematic strategic approach to handle corrective maintenance onto the failures/breakdowns of construction equipment. For the maintenance crew/team, a breakdown code management is proposed, which will provide focused and unambiguous approach to manage any kind of breakdowns in construction equipments. Design/methodology/approach – The past breakdown records of a construction organization in the UAE are considered for analysis. From the failure data, through cause effect analysis (CEA) tools, the components and the breakdown codes namely breakdown main codes (BMC) and breakdown sub-codes (BSC) are formulated. With Pareto analysis, the critical codes are identified and validated through failure modes and effects analyses (FMEA) tools for the critical effect on the affected components. From this identified BSC's further closer failure identification codes namely breakdown symptom codes (BSyC) and breakdown reason codes (BRC) are identified through fault tree analysis (FTA) tools. The approach to modified breakdown maintenance management (MB2M) with breakdown maintenance protocol (BMP) is envisaged. Findings – The study was conducted on four different types of heavy lifting/earth moving/material handling system of equipment and further focused with two earth moving equipment namely dumpers and wheel loaders. Failure analysis is performed and the failure ratio and the component contribution to the failures are identified. Based on the information, the preliminary codes namely BMC and BSC are identified through CEA tools and the BMC and BSC are identified to find the most contributing codes to the maximum number of failures through Pareto analysis. Further the critical sub-codes are further verified through FMEA tools on the severity levels of the sub components due to these codes. The FTA methods are used to identify the closer reasoning and relations of these codes and the further codes namely BSyC and BRC are identified which are the exact cause of the failures. The management of breakdowns is further proposed through MB2M which includes BMP which provides all resources for the breakdowns. Research limitations/implications – The failure data collected are only pertaining to the Middle East region and applicable to similar regions for similar plant mix in construction companies. The sample equipment is only part representative of the construction equipment. A more robust model can be suggested in the future covering all aspects and for other regions as well. Practical implications – The proposed methodology and model approach is highly adaptable to similar industries operating in the Middle East countries. Originality/value – Many authors have studied the preventive maintenance models and procedures and proposals have been proposed. On the breakdown maintenance management of construction equipment, very few studies have been proposed mostly on the cost analysis. This model attempts to provide a code management solution to manage the unpredictable failures in construction equipment through failure data analysis on a construction organization.

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With the rapid development of coal mine intelligent technology, the complexity of coal mine equipment has been continuously improved and the equipment maintenance resources have been continuously enriched. The traditional coal mine equipment maintenance knowledge management technology can no longer meet the current needs of equipment maintenance knowledge management, and the problems of low utilization rate, poor interoperability, and serious loss of knowledge have gradually emerged. It is urgent to study new knowledge system construction and knowledge management application technology for large-scale coal mine equipment maintenance resources. Knowledge graph is a technical method to describe the relationship between things in the objective world by using a graph model. It can effectively solve the problem of knowledge dynamic mining and management under large-scale data. Therefore, this paper focuses on the establishment of a coal mine equipment maintenance knowledge graph system by using knowledge graph technology. The main research contents are as follows: Firstly, based on the current situation that there is no unified basic knowledge system in the field of coal mine equipment maintenance, this paper establishes the coal mine equipment maintenance ontology (CMEMO) to effectively solve the problem that there are no unified representation, integration, and sharing of coal mine equipment maintenance knowledge in this field and provide support for the construction of coal mine equipment maintenance knowledge graph. Then, aiming at the problem that the traditional named-entity recognition method has a poor recognition effect and relies too much on artificial feature design, this paper proposes a named-entity recognition model for coal mine equipment maintenance based on neural network (BERT-BiLSTM-CRF) and applies the model to the coal mine equipment maintenance data set for verification. The experimental results show that, under the same data set, the entity recognition effect of this model is more leading than that of other models. Finally, through demand analysis and architecture design, combined with the constructed ontology model of coal mine equipment maintenance field, the entity identification of coal mine equipment maintenance is completed based on the BERT-BiLSTM-CRF model and the Django application framework is used to build the coal mine equipment maintenance knowledge graph system to realize the functions of each module of the knowledge graph system.

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<p><strong>Abstract.</strong> Nowadays we are able to produce geometric models of historical building at different scale of detail using photos and measurements. More and more we are facing with lack of preservation actions and maintenance activities, bad foreseen policies, unexpected natural events, that are forcing professionals and researchers to operate without usual data. In these cases, we need consistent repository to collect and distribute data to produce information. Furthermore, we need to “give intelligence” to these repositories in order to query them with respect geometrical instances, topological issues, historical features.</p><p>We dispose of tons of xyz points: how can we pass from the point cloud to a building information model, then to a geographic information system, not necessarily in this order? A simple Scan-to-BIM-to-GIS and Scan-to-GIS-to-BIM process were tested in order to consequently evaluate, with purposes of preservation and of enhancing of resilience, some practices that could became the best, also in terms of time and cost saving.</p><p>The work we propose is a part of an ongoing research focused on the application of H-BIM approach for the management of historical building heritage, focused on a district management (H-DIM, at an urban level). In particular, with regard to the resilience theme, both the acquisition phase and the archive research process are of great importance for protecting our undefended building heritage.</p><p>Regarding the case study of the paper, UNESCO sites represent important areas for collective interests of humanity. This contribution proposes a possible solution applying a digital cultural heritage to the historical part of the Municipality of Serralunga d’Alba belonging to the UNESCO site called Vineyard Landscape of Langhe-Roero and Monferrato.</p>

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The increasing dependence of internal combustion engine in multitudes of application has mandated a detailed study on most of its subsystems. This paper focuses on predictive maintenance using machine learning based models. The transmission system of any power pace is often challenged due to sudden variation in applied load. Any fault in the transmission system could lead to the catastrophic failures hence need for this work. This paper deals with the identification of various fault conditions that happen in a transmission system using vibration signals acquired by an accelerometer. The acquired signals are processed to extract the statistical and spectral features. These features are used to build a machine learning model using decision tree or Random forest algorithm. The best combination of features and algorithm is evaluated and the results are presented.

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Purpose The purpose of this paper is twofold. First, to propose an operational model for aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly used in the literature. Second, to develop a fast and responsive solution method in order to cope with the frequent changes experienced in the airline industry. Design/methodology/approach Two important operational considerations were considered, simultaneously. First one is the maximum flying hours, and second one is the man-power availability. On the other hand, ant colony optimization (ACO), simulated annealing (SA), and genetic algorithm (GA) approaches were proposed to solve the model, and the upper bound was calculated to be the criteria to assess the performance of each meta-heuristic. After attempting to solve the model by these meta-heuristics, the authors noticed further improvement chances in terms of solution quality and computational time. Therefore, a new solution algorithm was proposed, and its performance was validated based on 12 real data from the EgyptAir carrier. Also, the model and experiments were extended to test the effect of the operational considerations on the profit. Findings The computational results showed that the proposed solution algorithm outperforms other meta-heuristics in finding a better solution in much less time, whereas the operational considerations improve the profitability of the existing model. Research limitations/implications The authors focused on some operational considerations rather than tactical considerations that are commonly used in the literature. One advantage of this is that it improves the profitability of the existing models. On the other hand, identifying future research opportunities should help academic researchers to develop new models and improve the performance of the existing models. Practical implications The experiment results showed that the proposed model and solution methods are scalable and can thus be adopted by the airline industry at large. Originality/value In the literature, AMRP models were cast with approximated assumption regarding the maintenance issue, while neglecting the man-power availability consideration. However, in this paper, the authors attempted to relax that maintenance assumption, and consider the man-power availability constraints. Since the result showed that these considerations improve the profitability by 5.63 percent in the largest case. The proposed operational considerations are hence significant. Also, the authors utilized ACO, SA, and GA to solve the model for the first time, and developed a new solution algorithm. The value and significance of the new algorithm appeared as follow. First, the solution quality was improved since the average improvement ratio over ACO, SA, and GA goes up to 8.30, 4.45, and 4.00 percent, respectively. Second, the computational time was significantly improved since it does not go beyond 3 seconds in all the 12 real cases, which is considered much lesser compared to ACO, SA, and GA.

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This research used a newly developed, full-scale infiltration testing (FSIT) procedure to determine the saturated surface infiltration rate of 16 existing permeable pavement installations in the Netherlands that have been in service for a number of years. Newly installed permeable pavements in the Netherlands must demonstrate a minimum infiltration capacity of 194 mm/h (540 L/s/ha). Only four of the 16 pavements tested in this study had an infiltration capacity higher than 194 mm/h. Most previous research has focused on unsaturated infiltration rates. However, the results of this study show that the difference in infiltration capacity between saturated and unsaturated can differ by up to 300%. If the unsaturated infiltration capacity is used as design input for computer models, the infiltration capacity may be significantly overestimated. The study demonstrated that the FSIT method is a reliable and accurate way to measure surface infiltration rates of permeable pavements. However, it is recommended that a minimum of three different FSIT tests should be undertaken at the same pavement location, and that the results should be averaged, to ensure appropriate infiltration rates are observed, recorded, and used in design. The results of this study should help stormwater managers with the planning, testing, and scheduling of maintenance requirements for permeable pavements with more confidence so that they will continue to perform satisfactorily over their intended design life.

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Purpose The purpose of the presented research is to investigate which tasks among the ones performed during a buildings’ operational phase are perceived to be more inefficient and to investigate if the information within a building information model (BIM) can help improve task efficiency. Design/methodology/approach The Digital Built Britain (BIM Level 3) aims to extend BIM into operation by promoting a life cycle approach for buildings through an integrated digital environment. Nevertheless, the main focus of both BIM Level 2 and Level 3 is mainly on design, construction and hand over; therefore, the current understanding and use of BIM for a buildings’ occupancy phase is still limited. Current literature and research focusing on BIM and building management show only marginal use of the technology, especially in terms of how BIM can be used beside for maintenance. Findings The paper presents the results of an online questionnaire survey aimed to ascertain the level of perceived inefficiencies of operational tasks. Through the analysis of Industry Foundation Classes (IFC) data models, the research identifies the data set needed to improve the efficiency of the tasks and presents a structured implementation plan to identify the information that should be prioritized in the model implementation. Originality/value The study presents part of a methodology developed by the author aimed to implement a BIM model for existing buildings including information that would support the management of the single facility/portfolio. While other studies have considered BIM and the operational phase, especially in relation to asset maintenance, this study has focused on understanding how the information included in the model can improve task efficiency.

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Hand-holes are present within the body of welded aluminum light poles. They are used to provide access to the electrical wiring for both installation and maintenance purposes. Wind is the main loading on these slender aluminum light poles and acts in a very cyclic way. In the field, localized fatigue cracking has been observed. This includes areas around hand-holes, most of which are reinforced with a cast insert welded to the pole. This study is focused on an alternative design, specifically hand-holes without reinforcement. Nine poles with 18 openings were fatigue tested in four-point bending at various stress ranges. Among the 18 hand-holes tested, 17 failed in one way or another as a result of fatigue cracking. Typically, fatigue cracking would occur at either the 3:00 or 9:00 positions around the hand-hole and then proceed to propagate transversely into the pole before failure. Finite element analysis was used to complement the experimental study. Models were created with varying aspect ratios to see if the hand-hole geometry had an effect on fatigue life.

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The Internet of Things (IoT), the development and installation of advanced sensors for data collection, computer solutions for remote connection and other disruptive technologies are marking a transformation process in the industry; giving rise to what various sectors have called the fourth industrial revolution or Industry 4.0. With this process of change, organizations face both new opportunities and challenges. This article focuses on the modeling and integration of industrial data, generated by sensors installed in machines. The extraction of patterns is proposed, using data fusion techniques that allow the design of a predictive maintenance model. Finally, a case study is presented with a database that is applied to the Naive Bayes Algorithm to obtain predictions.Keywords: Industry 4.0, Sensors, Internet of Things, Pattern Extraction, Omnibus Models.

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Abstract The research and application of reverse engineering technology are more and more extensive, but its process is still not fully mature. Aiming at the complexity of equipment parts and the diversity of accuracy requirements, the method of hybrid reconstruction and evaluation of 3D model of equipment parts for virtual maintenance system is illustrated. The general process is given. Taking the two-stage bevel gear worm reducer as the research object, the research on three-dimensional scanning, data processing and model reconstruction is carried out. This paper focuses on the reconstruction process and methods such as regional division, solid model construction based on maximum outer contour, creation of basic surface, patch fitting and so on by taking the bevel gear in the reducer as an example. Finally, 3D comparison, 2D comparison, cross-section accuracy and size of the reconstructed solid model are evaluated. The results show that the hybrid reconstruction method has strong adaptability and high efficiency. Reverse modeling and forward design are organically combined to give full play to their advantages, and the hybrid reconstruction method can effectively reverse the original design intention of the product and improve the parameterization ability of reverse modeling. It can meet the requirements of different precision models developed by virtual maintenance system, structural wall chart and atlas, multimedia and so on.

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Heating, ventilation and air-conditioning (HVAC) systems are the major energy consumers among buildings’ equipment. Reliable fault detection and diagnosis schemes can effectively reduce their energy consumption and maintenance costs. In this respect, data-driven approaches have shown impressive results, but their accuracy depends on the availability of representative data to train the models, which is not common in real applications. For this reason, transfer learning is attracting growing attention since it tackles the problem by leveraging the knowledge between datasets, increasing the representativeness of fault scenarios. However, to date, research on transfer learning for heating, ventilation and air-conditioning has mostly been focused on learning algorithmic, overlooking the importance of a proper domain similarity analysis over the available data. Thus, this study proposes the design of a transfer learning approach based on a specific data selection methodology to tackle dissimilarity issues. The procedure is supported by neural network models and the analysis of eventual prediction uncertainties resulting from the assessment of the target application samples. To verify the proposed methodology, it is applied to a semi-supervised transfer learning case study composed of two publicly available air-handling unit datasets containing some fault scenarios. Results emphasize the potential of the proposed domain dissimilarity analysis reaching a classification accuracy of 92% under a transfer learning framework, an increase of 37% in comparison to classical approaches.

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Abstract. The promotion and dissemination of architectural heritage for cultural enhancement and touristic enjoyment are increasingly focused on innovative ICTs, including 3D Geographic Information Systems, photorealistic models and scenes, and VR/AR immersive digital environments, which enable the interaction of visitors with a variety of informational contents, both educational and specialist. Within the above-mentioned framework, this paper will firstly outline the general objectives of the project “3D-IMP-ACT”, which has been funded under the international cooperation programme IPA CBC Interreg Italy-Albania-Montenegro. In this research, some ICT tools are tested and validated to create “virtual networks” of international ancient architectures and sites, based on the identification of “physical networks” of common historic, environmental and technical characteristics and infrastructural connections, in order to address coordinated strategies and transversal policies for development and management. Then, the paper will describe and discuss some results from the design and implementation of the project WebGIS system, which integrates virtual tours of 360° panoramas, 3D models from photomodelling of pictures taken by drones, multimedia contents, and 2D/3D historic evolution schemes within a single platform, where the users are supported in recognizing and exploring the tangible and intangible correspondences among the project pilot-cases. In conclusion, some remarks will be proposed on the potential benefits of the platform as an expert system which supports the technical assessment and control of architectural heritage toward maintenance, refurbishment and conservation.

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Over the past 10 years there has been a growing body of research into modeling and describing driving behavior, particularly for situations that occur on motorways. This interest has arisen from the need to assess safety and capacity benefits that could be produced by changes to road design, operation, signage, and in-vehicle advanced transport telematics, such as collision warning (CW) or autonomous cruise control. For the most part these investigations have focused on “close” or “car” following, which describes the maintenance of a time- or distance-based following headway. However, often overlooked, and of equal importance, is the “approach” process, describing how a driver decelerates when approaching a slower vehicle. There are several competing theories of the behavioral basis underlying this process, including, for example, those based on time-to-collision or optic flow. There are, however, very few data against which such models can be assessed and systems designed. Presented are the results from an exploratory, instrumented vehicle study designed to assess approach mechanisms. The two key features of the process are explored: the circ*mstances under which driver deceleration is instigated, and the process governing the control of the deceleration itself. Finally, there is a brief assessment of the implications of these findings for the design of CW systems, in which realistic warnings may prove vital to their acceptance by the driving public.

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Purpose Railway transport maintenance plays an important role in delivering safe, reliable and competitive transport services. An appropriate maintenance strategy not only reduces the assets’ lifecycle cost, but also will ensure high standards of safety and comfort for rail passengers and workers. In recent years, the majority of studies have been focused on the application of risk-based tools and techniques to maintenance decision making of railway infrastructure assets (such as tracks, bridges, etc.). The purpose of this paper is to present a risk-based modeling approach for the inspection and maintenance optimization of railway rolling stock components. Design/methodology/approach All the “potential failure modes and root causes” related to rolling stock systems are identified from an extensive literature review followed by an expert’s panel assessment. The failure causes are categorized into six groups of electrical faults, structural damages, functional failures, degradation, human errors and natural (external) hazards. Stochastic models are then proposed to estimate the likelihood (probability) of occurrence of a failure in the rolling stock system. The consequences of failures are also modeled by an “inflated cost function” that involves safety-related costs, corrective maintenance and renewal (M&R) costs, the penalty charges due to train delays or service interruptions as well as the costs associated with loss of reputation (or loss of fares) in the case of trip cancellation. Lastly, a time-varying risk-cost function is formulated to determine the optimal frequency of preventive inspection and maintenance actions for rolling stock components. Findings For the purpose of clearly illustrating the proposed risk-based inspection and maintenance modeling methodology, a case study of the Class 380 train’s pantograph system from a Scottish train operating company is provided. The results indicate that the proposed model has a substantial potential to reduce the M&R costs while ensuring a higher level of safety and service quality compared to the currently used inspection methodologies. Practical implications The railway rolling stocks should be regularly inspected and maintained so as to ensure network availability and reliability, passenger safety and comfort, and operations efficiency. Despite the best efforts of the maintenance staff, it is reported that a considerable amount of maintenance resources (e.g. budget, time, manpower) is wasted due to insufficiency or inefficiency of current periodic M&R interventions. The model presented in this paper helps the maintenance engineers to assess the current maintenance practices and propose or initiate improvement actions when needed. Originality/value There are few studies investigating the application of risk-based tools and techniques to inspection and maintenance decision making of railway rolling stock components. This paper presents a modeling approach aimed at planning the preventive repair and maintenance interventions for rolling stock components based on risk measures. The author’s model is also capable of incorporating real measurement information gathered at each inspection epoch to update future inspection plans.

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The Architecture, Engineering, Construction, and Facility Management (AEC-FM) industry is increasingly affected by digital technologies that monitor sensor network data and control automation systems. Advances in digital technologies like Digital Twin offer a high-level representation of buildings and their assets by integrating the physical and digital world. This paper examines patterns, gaps, and trends in the AEC-FM sector and contributes to digitalization and automation solutions for building management. This work covers a broad range of research topics, from intelligent information management of complex models to building information management and the interaction of building systems, where researchers are increasingly interested in using the Digital Twin to manage their information and in developing new research lines focused on data interchange and the interoperability of building information modeling (BIM) and facility management (FM). After a complete bibliometric search of several databases and following selection criteria, 77 academic publications about the Digital Twin application in the AEC-FM industry were labeled and clustered accordingly. This study analyzed in detail the concept of key technologies, including “Digital Twin in Facility Lifecycle Management,” “Digital Twin-Information Integration Standards,” “Digital Twin-Based Occupants Centric Building Design,” “Digital Twin-Based Predictive Maintenance,” “Semantic Digital Twin for Facility Maintenance,” and “Digital Twin-Based Human Knowledge.” The findings show that information standardization is the first major hurdle that must be overcome before the actual use of Digital Twin can be realized in the AEC-FM industry. Based on that, this paper provides a conceptual framework of Digital Twin for building management as a starting point for future research.

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The use of building information modelling (BIM) in construction projects is expanding, and its usability throughout building lifecycles, from planning and construction to operation and maintenance, is gaining increasing proof. In the design of domestic drinking-water and sewerage systems (DDWSSs), BIM focuses on coordinating disciplines and their design. Despite studies promoting BIM environments for DDWSSs that take into account the regulatory frameworks of corresponding countries, these efforts do not include the use of parametric tools that enhance the efficiency of the design process. Therefore, engineers still use conventional 2D design, which requires many rounds of iteration, and manual work is also generally still used. In this research, we developed and validated an intuitive methodology for solving a specific DDWSS problem, using a design science research method (DSRM) as an applied science approach. This was addressed by developing an artefact and validating it through two case studies. The obtained solution combines BIM models and parametric tools to automate the manual activities of the traditional design method. This article aims to bring abstract BIM concepts into practice and encourage researchers and engineers to adopt BIM for DDWSSs.

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The Federal Highway Administration (FHWA) vehicle classification scheme is designed to serve various transportation needs such as pavement design, emission estimation, and transportation planning. Many transportation agencies rely on Weigh-In-Motion and Automatic Vehicle Classification sites to collect these essential vehicle classification counts. However, the spatial coverage of these detection sites across the highway network is limited by high installation and maintenance costs. One cost-effective approach has been the use of single inductive loop sensors as an alternative to obtaining FHWA vehicle classification data. However, most data sets used to develop such models are skewed since many classes associated with larger truck configurations are less commonly observed in the roadway network. This makes it more difficult to accurately classify under-represented classes, even though many of these minority classes may have disproportionately adverse effects on pavement infrastructure and the environment. Therefore, previous models have been unable to adequately classify under-represented classes, and the overall performance of the models is often masked by excellent classification accuracy of majority classes, such as passenger vehicles and five-axle tractor-trailers. To resolve the challenge of imbalanced data sets in the FHWA vehicle classification, this paper constructed a bootstrap aggregating deep neural network model on a truck-focused data set using single inductive loop signatures. The proposed method significantly improved the model performance on several truck classes, especially minority classes such as Classes 7 and 11 which were overlooked in previous research. The model was tested on a distinct data set obtained from four spatially independent sites and achieved an accuracy of 0.87 and an average F1 score of 0.72.

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Purpose – The purpose of this paper is to examine the impact of operations and maintenance (O&M) practices, individually and collectively, on power plant performance. Design/methodology/approach – Data were collected from more than 100 power plants in Australia and Malaysia. The reliability and validity (content, construct, and criterion) of the practice and performance measures were evaluated. Findings – Committed leadership and maintenance-oriented practices as part of a total productive maintenance (TPM) philosophy were found to be the main differentiators between high and low performing plants. Research limitations/implications – The research is cross-sectional in nature, therefore, it does not permit us to account for the lag between implementation and performance. Second, the performance measures are subjective and may be subject to response bias. Practical implications – The implication of the research findings for plant managers is that they need to allocate more “softer” resources to the O&M function if they expect high plant availability. Social implications – Apart from capacity and fuel cost, operating costs are an important source of differentiation for power plants. The implication is that reduction in operating costs is directly related to the reduction of consumer power bills. Originality/value – The reader will learn from this paper that committed leadership and maintenance-oriented practices have greater explanatory power in the regression models than employee involvement, customer focus, strategic planning, and knowledge management. This knowledge is important because it emphasises that in addition to quality management practices, which are focussed on the development of the people aspects of the organization, the plant equipment and physical assets should also be given equal emphasis, in order to improve operational performance of power plants.

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Swales are widely used Sustainable Urban Drainage Systems (SuDS) that can reduce peak flow, collect and retain water and improve groundwater recharge. Most previous research has focused on the unsaturated infiltration rates of swales without considering the variation in infiltration rates under extreme climate events, such as multiple stormwater events after a long drought period. Therefore, fieldwork was carried out to collect hydraulic data of three swales under drought conditions followed by high precipitation. For this simulation, a new full-scale infiltration method was used to simulate five rainfall events filling up the total storage volume of the swales under drought conditions. The results were then compared to earlier research under regular circ*mstances. The results of this study show that three swales situated in the same street show a variation in initial infiltration capacity of 1.6 to 11.9 m/d and show higher infiltration rates under drought conditions. The saturated infiltration rate is up to a factor 4 lower than the initial unsaturated rate with a minimal rate of 0.5 m/d, close to the minimum required infiltration rate. Significant spatial and time variable infiltration rates are also found at similar research locations with multiple green infrastructures in close range. If the unsaturated infiltration capacity is used as the design input for computer models, the infiltration capacity may be significantly overestimated. The innovative method and the results of this study should help stormwater managers to test, model, plan and schedule maintenance requirements with more confidence, so that they will continue to perform satisfactorily over their intended design lifespan.

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The authors present the unsolved issue of the contextual design of urban intersections (UI) from the point of view of traffic noise emissions around residential buildings in the Slovak context. Noise barriers are very rarely used in urban areas, due to such reasons as lack of space for their installation, traffic safety (view at intersections), architectural factors, as well as the fact that they represent a barrier for pedestrians and cyclists. The use of low-noise asphalt pavements is limited in urban areas primarily due to the high cost of production and maintenance of these covers, their limited durability in a colder climate, and lower efficiency compared to the roads outside urban areas. From this aspect of urban intersection design, the authors focused on the identification of individual factors associated with the significant reduction (2–8 dB) of traffic noise induced by the reconstruction of non-signalized urban intersections into roundabouts. The authors draw attention to the fact that both new surfaces of intersection branches and the change in traffic processes contribute to the aforementioned reduction. This finding was obtained by comparing direct measurements of noise levels and the results of their predicted values using validated 3D models in the CadnaA program. Noise emissions were measured by a noise analyzer (NOR-1210), and traffic noise emissions were predicted by the “Nouvelle Méthode de Prévision du Bruit” methodology (NMPB-1996). Based on the analysis of the measured and predicted traffic noise levels, the authors objectivized the share of reduction in traffic processes in the 2–3 dB range. The authors objectified the share of traffic noise reduction due to the change in traffic processes as being in the 2.2–3.3 dB range. The presented research results could contribute to a quantifiable reduction in the noise load in the external environment of residential buildings using the contextual design of intersections.

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The vibration performance of pedestrian structures has attracted the attention of several studies, especially with respect to unfavourable operational conditions or possible damage scenarios. Specific vibration comfort levels must be commonly satisfied in addition to basic safety requirements, depending on the class of use, the structural typology and the materials involved. Careful consideration could be thus needed at the design stage (in terms of serviceability and ultimate limit state requirements), but also during the service life of a given pedestrian system. As for structural health monitoring purposes, early damage detection and maintenance interventions on constructed facilities, vibration frequency estimates are also known to represent a preliminary but rather important diagnostic parameter. In this paper, the attention is focused on the post-breakage vibration analysis of in-service triple laminated glass (LG) modular units that are part of a case-study indoor walkway in Italy. On-site non-destructive experimental methods and dynamic identification techniques are used for the vibration performance assessment of a partially cracked LG panel (LGF), compared to an uncracked modular unit (LGU). Equivalent material properties are derived to account for the fractured glass layer, and compared with literature data for post-breakage calculations. The derivation of experimental dynamic parameters for the post-breakage mechanical characterization of the structural system is supported by finite element (FE) numerical models and parametric frequency analyses.

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Non-pneumatic tires (NPTs) have been widely used for their advantages of no run-flat, no need for air maintenance, and unique stiffness characteristics. This study focuses on the design of a spoke of a Fibonacci spiral non-pneumatic tire (FS-NPT) based on its properties of three-dimensional stiffness. Finite element (FE) models, parametric studies, designs of experiments (DOEs), and sensitivity analyses are conducted to study the effect on the three-dimensional stiffness considering three design variables: (a) the thickness of the spokes, (b) the radius of the first Fibonacci spiral of the spoke, and (c) the width of the spokes of the FS-NPT. The results show that variation in all three design parameters had no considerable effect on the lateral stiffness. The results from the DOE are used to create a response surface model (RSM) for the multi-objective function (minimal SSD) and a constraint on the weight of the FS-NPT. The analytical RSM functions are optimized for minimizing the SSD subjected to the given constraint. The results indicate that all three design variables of the spoke had a significant effect on the vertical stiffness. The spoke radius had no potential effect on the longitudinal stiffness of the NPT. Hence, the three-dimensional stiffness of the FS-NPT has a certain independent design. This work demonstrates the advantages of non-pneumatic tires, especially FS-NPTs, in three-dimensional stiffness decoupling. This study guides the industrial production of flexible-spoke bionic NPTs by providing a very simple spoke structure. The optimization results show that FS-NPTs have a large stiffness design range. The different stiffness targets can be achieved by adjusting different combinations of the design variables, and the tire mass does not increase significantly.

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Purpose This paper aims to identify a generic set of information requirements for facilities management (FM) systems, which should be included in BIM as-built models for efficient information exchange between BIM and FM systems, and to propose a process to identify, verify and collect the required information for use in FM systems during the project’s lifecycle. Design/methodology/approach Both qualitative and quantitative approaches were applied at different stages of the study’s sequential design. The collection and analysis of qualitative data was based on an extensive literature review of similar studies, standards, best practices and case study documentation. This was followed by a questionnaire survey of 191 FM practitioners in the UK. This formed the background of the third stage, which was the development of the information management process to streamline information exchange between building information models and FM systems. Findings The study identifies a generic list of information requirements of building information models to support FM systems. In addition, the study presents an information management process that generates a specific database for FM systems using an open data format. Originality/value The existing literature focuses on specific building types (educational buildings) or specific information requirements related to particular systems (mechanical systems). The existing standards, guidelines and best practices focus on the information requirements to support the operations and maintenance (O&M) phase in general. This study is different from previous studies because it develops a set of specific information requirements for building information models to support FM systems. FM organisations and owners can use the proposed list of information requirements as a base to generate specific data output for their FM systems’ input, to decrease the redundant activity of manual data entry and focus their efforts on key activities.

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The design, construction, and maintenance of steel structures must be carried out in a way that ensures they will be able to reliably operate for the whole duration of their planned service life. To ensure sufficient durability, it is necessary to determine and evaluate the characteristics of the appropriate environment in which the structure will be placed. This submission focuses on the specific environment surrounding roads that are treated with de-icing salts during winter maintenance. It investigates the dependency between corrosive damage to the structure and the relevant parameters of the environment. Basic corrosive factors include temperature, relative humidity, deposition of chlorides and sulfur dioxide, precipitation, the pH of precipitation as well as many other parameters. An accurate estimate of corrosive damage requires an analysis of the long-term trends in concentrations of individual corrosive factors, while respecting their randomly varying attributes. The article, hence, introduces and evaluates stochastic prediction models that are based on long-term programs focusing on the evaluation of the corrosive aggressiveness of the environment, while taking into account random variations of the nature of the input parameters. The use of stochastic prediction models allows us to perform sensitivity analysis that can determine the impact of specific corrosive factors on the corrosive damage caused to the structure. The article is supplemented by sensitivity analysis focusing on an evaluation from the effects of the deposition of chlorides on the corrosive damage to steel bridge structures. The analysis was carried out using data obtained from experimental measurements of the deposition rates of chlorides in the vicinity of roads in the Czech Republic.

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For meeting requirements of staying in the stratosphere for a long time period more than one year and less of maintenance, the power and propulsion system of the stratospheric airship is required to have high reliability. In this regard, reliability design is a key procedure in the design phase of the power and propulsion system of stratospheric airship. This paper focuses on the quantitative analysis of the reliability for the power and propulsion system of the stratospheric airship. Firstly, the reliability of the solar cell array and the fuel cell of power system are discussed respectively. Then, different topologies of the power system are discussed and compared. The reliability of the propulsion system is also analyzed in different configurations. The reliability of the basic combination of the power and propulsion system is discussed. For improving reliability, a new type of combination for the power and propulsion system is proposed. Reliability models of proposed combination are created through simplification. The ZhiYuan-1 is used as a demonstration problem to show the capability of this reliability-improved method. The result shows that the reliability of ZhiYuan-1 power and propulsion system increases by 12.8%.

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Purpose – The purpose of this paper is to primarily focus on labor in maintenance areas, addressing human rights issues, labor standards and safety standards. The main issue is to investigate how these factors are considered to drive the prioritization of maintenance interventions within maintenance plans. In particular, a method for criticality analysis of production equipment is proposed considering specific labor issues like age and gender, which can be useful to steer maintenance plans toward a more social perspective. Design/methodology/approach – The authors focus on the two main social issues of SA 8000 norms, age and gender, exploring how these issues may drive the selection of maintenance policies and the relative maintenance plans. The research is conducted through fuzzy analytical hierarchy process (AHP) implemented within a failure mode effects analysis (FMEA). Findings – The research is conducted through fuzzy AHP implemented within a FMEA. The maintenance plans resulting from the FMEA driven by social issues are evaluated by a benchmark of three different scenarios. The results obtained allowed the firm to evaluate maintenance plans, considering the impact on workers’ health and safety, the environment, social issues like gender and age. Research limitations/implications – One of the main limitation of this research is that it should also encompass maintenance costs under social and safety perspective. The method developed should be extended by further study of maintenance planning decisions subject to budget constraints. Moreover, it would be worth evaluating the effect of adopting more proactive maintenance policies aimed at improving plant maintainability in view of what emerged during the test case in the presence of an aged workforce and the subsequent need to prevent and/or protect people from hidden risks. Practical implications – With reference to the results obtained from the two models of this scenario, the authors observed an increase of equipment criticality, from B class to the A class, and similarly from C class to B class. No equipment has reduced its criticality. This depends on the particular context and the relative weights of drivers indicated in its AHP matrixes. Social implications – The paper addressed the main social implication as well as other social issues represented by age and gender factors, which are normally neglected. The Action Research (AR) proved the effects resulted from considering either gender factor or gender and age factors at the same time for maintenance policy selection. All in all, an increase of criticality is evident even if “people” is a driver with less importance than “environment” and “structures.” Originality/value – The present work focussed on a new definition of a criticality ranking model to assign a maintenance policy to each component based on workers’ know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and AHP to overcome uncertainties, which can rise during a decision process when there is a need to evaluate many criteria, ranging from economic to environmental and social dimensions.

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Mechanical Engineering (ME) includes the design, manufacturing, assembly, and maintenance of mechanical subsystems for Architecture, Engineering, Construction, and Owner-Operator (AECO) projects. The intense adoption of information and communication technology in the AECO started with building product modelling, which was originally pioneered in the ME domain (i.e., automotive industry). The complexity and limited openness of product models paved the way for Building Information Modelling (BIM). Today, BIM workflows require an exchange of interoperable architecture, structure, and MEP/HVAC models and their seamless integration into a shared BIM model. Many specialized ME systems exist (i.e., medical gases and vacuum) for which BIM is not mature enough and where the role of BIM has not yet been studied. Therefore, a comprehensive cross-disciplinary analysis on the mutual influence of the BIM and the ME domain is needed for researchers and professionals. It identifies research fields and trends at the intersection of BIM and ME and analyzes their scope, limitations, and requirements for future extensions of BIM for better integration with ME. The analysis is based on an extensive literature search considering the interdisciplinary nature of ME. The initial collection of papers has undergone a rigorous bibliometric analysis that used a text mining approach for validation. Results show the field “Industry 4.0” as the most prosperous BIM influencing research field, followed by “Energy optimisation” and “Environmental Product Declaration”, while identifying “Geometric optimisation” and “Reinforced material” as the trendiest. Finally, conclusions on the impact of BIM on ME were drawn and 11 research opportunities were identified. This paper provides directions for studies where research is focused on the integration of ME systems in BIM workflows and on the extension of BIM capability to model future ME systems.

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The security of national energy systems as well as the transition to a low-carbon future are two hot topics of discussion in the international political arena. Research on the stability of centralized energy systems is currently focused on distributed generation. Developing a scalable microgrid model enabling its massive adoption is one of the safest and feasible ways to solve such problem. The paper aims to fill an existing gap regarding the operation model of microgrids that is a barrier for the large-scale integration of those in the conventional grid network. In the proposed approach the authors identified key processes to be considered when operating microgrids, in the conditions shown through an experimental (simulation) campaign. A three-phase research was performed: (1) systematic literature review to explore the management models of a stand-alone microgrid design and management; (2) a household experiment; and (3) a computer simulation of energy balance for a selected household. We identified eight key processes constituting a scalable microgrid: five core processes, two supporting processes, and one management process. Subsequently, we developed a map of these processes obtaining a microgrid process model for massive adoption. The model of processes can be considered as a repeatable pattern of conduct in the creation and maintenance of microgrids, which their future owners can follow. To support our literature findings, we performed an experiment and a computer simulation of three sub-processes of the (re)design of the infrastructure process: (1) wind turbine selection, (2) photovoltaic power plant selection, and (3) energy-storage selection. Results confirm conditional stability of the analyzed microgrid and the need for cyclical simulation exercises until unconditional stability is achieved. In terms of sustainability, to keep the microgrid permanently in a positive energy balance will require the implementation of all key processes.

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Purpose The purpose of this paper is twofold: first to carry out a comprehensive literature review for state of the art regarding airline schedule planning and second to identify some new research directions that might help academic researchers and practitioners. Design/methodology/approach The authors mainly focus on the research work appeared in the last three decades. The search process was conducted in database searches using four keywords: “Flight scheduling,” “Fleet assignment,” “Aircraft maintenance routing” (AMR), and “Crew scheduling”. Moreover, the combination of the keywords was used to find the integrated models. Any duplications due to database variety and the articles that were written in non-English language were discarded. Findings The authors studied 106 research papers and categorized them into five categories. In addition, according to the model features, subcategories were further identified. Moreover, after discussing up-to-date research work, the authors suggested some future directions in order to contribute to the existing literature. Research limitations/implications The presented categories and subcategories were based on the model characteristics rather than the model formulation and solution methodology that are commonly used in the literature. One advantage of this classification is that it might help scholars to deeply understand the main variation between the models. On the other hand, identifying future research opportunities should help academic researchers and practitioners to develop new models and improve the performance of the existing models. Practical implications This study proposed some considerations in order to enhance the efficiency of the schedule planning process practically, for example, using the dynamic Stackelberg game strategy for market competition in flight scheduling, considering re-fleeting mechanism under heterogeneous fleet for fleet assignment, and considering the stochastic departure and arrival times for AMR. Originality/value In the literature, all the review papers focused only on one category of the five categories. Then, this category was classified according to the model formulation and solution methodology. However, in this work, the authors attempted to propose a comprehensive review for all categories for the first time and develop new classifications for each category. The proposed classifications are hence novel and significant.

Abstract:

Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia, there is no systematic understanding of DT from its development history to its different concepts and applications in disparate disciplines. The majority of DT literature focuses on the conceptual development of DT frameworks for a specific implementation area. Hence, this paper provides a state-of-the-art review of DT history, different definitions and models, and six types of key enabling technologies. The review also provides a comprehensive survey of DT applications from two perspectives: (1) applications in four product-lifecycle phases, i.e. product design, manufacturing, operation and maintenance, and recycling and (2) applications in four categorized engineering fields, including aerospace engineering, tunneling and underground engineering, wind engineering and Internet of things (IoT) applications. DT frameworks, characteristic components, key technologies and specific applications are extracted for each DT category in this paper. A comprehensive survey of the DT references reveals the following findings: (1) The majority of existing DT models only involve one-way data transfer from physical entities to virtual models and (2) There is a lack of consideration of the environmental coupling, which results in the inaccurate representation of the virtual components in existing DT models. Thus, this paper highlights the role of environmental factor in DT enabling technologies and in categorized engineering applications. In addition, the review discusses the key challenges and provides future work for constructing DTs of complex engineering systems.

Abstract:

Purpose The purpose of this paper is to explore the use of virtual reality environments (VRE) for maintenance activities by augmenting a virtual facility representation and integrating relevant information regarding the status of systems and the space itself, while providing simple ways to control them. Design/methodology/approach The research focuses in the implementation of a VRE prototype of a building management system using game engine technologies. To evaluate the prototype, a usability study has been conducted that contrasts the virtual reality interface with a corresponding legacy application showing the users perception in terms of productivity improvement of facilities management (FM) tasks. Findings The usability tests conducted indicated that VREs have the potential to increase the productivity in maintenance tasks. Users without training demonstrated a high degree of engagement and performance operating a VRE interface, when compared with that of a legacy application. The potential drop in user time and increase in engagement with a VRE will eventually translate into lower cost and to an increase in quality. Originality/value To date no commonly accepted data model has been proposed to serve as the integrated data model to support facility operation. Although BIM models have gained increased acceptance in architecture engineering and construction activities they are not fully adequate to support data exchange in the post-handover (operation) phase. The presented research developed and tested a prototype able to handle and integrate data in a flexible and dynamic way, which is essential in management activities underlying FM.