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The Maintenance Management Framework for Asset Management (MMFAM) is a recently modeled framework to ensure the alignment of maintenance management with physical asset management based on the ISO 55000 series for asset management. In this context, the purpose of this paper is to discuss the applicability of the MMFAM considering the operational context of a hydroelectric power plant.

The paper adopted the case study method for the discussion of the applicability of the MMFAM to a real operational context. A hydroelectric power plant was chosen as the scope of the case study due to its relevance since the electricity sector is an example of an asset-intensive industry in which asset management performance is fundamental. To gain a detailed understanding of the organization, data were collected through direct requests to the plant, informal meetings with technical collaborators, a technical visit to the hydroelectric plant and on-site data collection. Then, the MMFAM processes were demonstrated based on this information and the results supported the discussion of the MMFAM applicability.

The case study provided a deeper understanding of the processes included in the MMFAM. In addition, the results suggested the applicability of the framework to other organizations besides the hydroelectric sector due to its generic approach and the possibility of choosing appropriate tools to support and implement the MMFAM processes.

The case study is expected to contribute to the practical understanding of the MMFAM processes within an operational context and assist maintenance professionals and researchers in their implementation in other organizations.

Although the literature provides different maintenance management frameworks, their practical discussion based on a real operational context is still a gap. Accordingly, this paper discusses the MMFAM under a case study method to expand its understanding beyond theory and contribute to practical comprehension in depth.

This paper aims to investigate how the product architecture and service architecture methodology can be applied in strategic maintenance optimization to reduce the non-value-adding variance of maintenance, decrease the complexity and ensure alignment in maintenance practices in asset-intensive companies. The proposed maintenance architecture model will make it possible to make data-driven decisions regarding how the equipment should be grouped and maintained.

The research approach is considered exploratory, and the main research strategy is a case study. The maintenance architecture model is developed based on the product architecture methodology and then tested in three different cases in the oil and gas sector.

Through the maintenance architecture model, it is possible to pair a quantitative data-driven approach with qualitative understanding of dependencies between equipment, maintenance actions and maintenance work management processes, enabling a more holistic and top-down data-driven approach to improving maintenance, than what currently exists in literature.

The proposed model provides a contribution to the understanding of maintenance and is positioned at a detailed level, different from other maintenance improvement models. This model is focused on the main drivers of maintenance that can be utilized at the strategic level compared to optimization of maintenance for individual pieces of equipment.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

The purpose of this paper is to present a literature review on human factors in aircraft maintenance and to analyze and synthesize the findings in the literature on human factors engineering in aircraft maintenance.

The review adopts a threefold approach: searching and collecting the scientific literature; sorting them on the basis of relevance and applications; and review of the scientific evidences. Broad areas of aircraft maintenance regulations are identified and each area was explored to study the level of scientific growth and publications. Notable theories, models and concepts are being summarized.

Application of human factor principles in aviation spread beyond the technical arena of man-machine interface. The discipline has created a great impact on aircraft design, operations and maintenance. Its applications have percolated into design of aircraft maintenance facilities, task cards and equipment. Human factor concepts are being used for maintenance resource management. The principles are applied to shape the safety behavior and culture in aviation maintenance workplace. Nevertheless, the review unfolds immense potential for future research.

Research outcomes of non-aviation studies are also reviewed and consolidated to extend the applications to the aviation industry.

This review would be a consolidated source of information confining to the physical aspect of human factors engineering in aircraft maintenance. It is intended to serve as a quick reference guide to the researchers and maintenance practitioners.

It brought out the benefits of adopting the principles of human factor engineering in aircraft maintenance. Application of human factor philosophy ensures enhanced safety in air transport, personal safety and well-being of maintenance personnel.

This is a unique review based on aircraft maintenance regulations that are baseline performance standards made mandatory by regulatory authorities. Therefore, the review has been considered to be made on aircraft maintenance regulatory requirements that surpass corporate or competitive strategies in aviation maintenance organization.

Inadequate strategic planning and maintenance budget may undermine the maintenance of the Higher Education Institution Building (HEIB). Studies have shown that a customised maintenance concept such as Soft System Methodology (SSM) can improve public building maintenance operations. There is a paucity of studies regarding public HEIB maintenance in Nigeria via an SSM approach. Therefore, the research investigated the state of public HEIB and developed a framework to improve public HEIB maintenance practices in Nigeria.

The research adopted SSM to understand Nigeria’s public HEIB maintenance practices. The SSM permitted a substitute approach to improve public HEIB maintenance practices via a developed framework. Data were collated via virtual interviews with experts, and findings were presented in line with the SSM seven steps.

Findings show that besides the shoddy state of public HEIB maintenance, there is no public digitalised HEIB framework to improve maintenance practices across Nigeria’s higher education institutions. The study developed a digitalised framework with the support of Computerised Maintenance Management System from the findings. It would reposition the public HEIB and stir up various agencies/departments/units managing maintenance for better service delivery via integrated delivery, practical, methodological and managerial aspects.

The research investigated Nigeria’s public HEIB maintenance practices via SSM to identify the required document and propose a feasible framework to improve Nigeria’s HEIB maintenance practices. Besides the developed conceptual framework, Nigeria’s HEIB maintenance practitioners and higher institution chief executives can use the recommended framework as guidelines to improve HEIB maintenance practices.

The paper aims to establish structure of patient satisfaction construct in Indian health care settings.

The data were collected from 528 indoor patients who were seeking treatment from Government Medical College (GMC), Bakshi Nagar and Acharya Chandra Medical College and Hospital Sidra (ASCOMS), Sidhara, the two teaching and research hospitals operating in Jammu City, India. Both exploratory and confirmatory factor analyses are used to verify the scale dimensions.

The results reveal that patient satisfaction is a multidimensional construct comprised of four dimensions, namely: physical maintenance, physician care, nursing care and internal facilities. Among the four hypothesized models, only model 2 depicting the impact of dimensions on satisfaction showed a good fit while the other three models showed either average (model 4) or poor (models 1 and 3) fit. The analysis of the models indicates that all patient satisfaction dimensions positively and significantly contribute to patient satisfaction and which also act as an important mediating factor between the satisfaction dimensions and patient loyalty.

The cross‐sectional design of the research is the limitation as all measures were collected at a single point‐of‐time. Because the findings of the study are based on overall satisfaction of the patients, no comparison is made between the degree of patient satisfaction achieved in public and private health care hospitals.

The paper measures patient satisfaction in the Indian context.

Insufficient investment in facilities management organizations lead to postponement of major repairs and replacements of facilities. Lack of centralized information within an organization on the assessment of deficiencies and conditions in the facilities causes these projects to be carried out at the cost of critical replacements and repairs. This paper aims to describe a facilities condition assessment methodology and a tool.

In this paper, the physical condition and maintenance deficiencies of heating ventilation and air conditioning (HVAC) type of equipment are assessed at its component level using failure checkpoints. The existing conditions of six cooling towers located at West Virginia University were assessed at the component level and an overall condition score was generated by the tool.

The tool helped to assess checkpoints on the components and identify the potential risk component and its impact.

When facilities managers initiate this structured assessment methodology based on a periodic frequency, the facilities availability and life is maximized apart from reducing overall risk.

The contributions of this paper include the use of a common and comprehensive methodology for HVAC physical condition assessments and risk assessment of component failure impact.

This paper eliminates the most evident scoring limitations in the literature such as “equal numbers or ties,” “summation of lower priority scores exceeding the higher priority score,” and the need for a “cost estimator.” A unique formula was determined for the scoring technique.

The purpose of this paper is to provide a literature review on the different ways of carrying out facility management and related topics in order to uncover that there is limited research regarding the impact of facility management on the logistics and operational performance of warehouses.

Four different focus areas have been identified and for each one different methodologies and streams of research have been studied.

The study underlines the importance of facility management for the logistics operations; therefore it supports the notion that investments aiming at preserving the status of the building and service components of warehouses are crucial.

This paper aims to suggest to facilities management managers that they can contribute to enhance business performance by designing effective facility management strategies.

There is an increasing trend of outsourcing maintenance activities of heavy equipment, including belt conveyor installations. However, there are numerous challenges in maintenance outsourcing. This paper aims to identify and analyze various challenges of outsourcing maintenance activities associated with belt conveyor installations.

This paper identifies maintenance outsourcing challenges of belt conveyor installations through literature review, field visits and expert opinion. An integrated structural hierarchical framework of the identified challenges is developed through analytic hierarchy process and decision-making trial and evaluation laboratory.

The paper has identified eight challenges, namely, attainment of organizational strength by contractors, legal and financial challenges for contractors, attainment of necessary technician skills by contractors, maintenance data acquisition and analysis challenges, facilitation with modern equipment, gadgets and instrumentation, service quality challenges, health, safety and environment-related challenges and spares supply chain management challenges. The segregation of driver and dependent challenges, including their hierarchical framework had been established in this work.

A comprehensive list of challenges and their prioritization in maintenance outsourcing of belt conveyor installations had been established. This will help the organizations who own and operate these installations to make judicious decisions regarding outsourcing maintenance.

This paper significantly contributes to the literature on maintenance outsourcing of heavy machinery installations like a belt conveyor system based on the input of different stakeholders. This study will lead to the development of frameworks for maintenance contractor selection for such installations.

Poor maintenance management leads to non-negligible economic, environmental and social impacts and obstacles to the sustainable manufacturing paradigm. Studies evaluating maintenance impacts on sustainability underline growing interest in the topic, but reports on the industrial field are lacking. Therefore, this paper investigates the industrial environment and the indicators that manufacturing companies use for measuring their maintenance impacts.

In this pilot survey study, several stakeholders of production enterprises in the south of Italy were interviewed to unveil the spread of the measurement of maintenance impacts on sustainability and the indicators used by those companies.

The interview results showed a low level of awareness among stakeholders about maintenance impacts on sustainability. Maintenance stakeholders are mainly focused on technical and economic factors, whereas environmental, quality and safety stakeholders are becoming more aware of maintenance impacts on environmental and social factors. However, both groups need guidelines to define sustainability indicators to assess such impacts.

This exploratory study allowed us to investigate the current situation in industrial organisations and achieve the first variegated and diversified vision of the awareness of company stakeholders on maintenance impacts on the sustainability of several business functions. This paper provides a valuable contribution to “maintenance and sustainability” research area in production contexts and sheds light on non-negligible maintenance impacts on sustainability, providing preliminary insights on the topic and an effective basis for defining future research opportunities. Moreover, this study enables increased awareness among internal and external manufacturing company stakeholders on the role of maintenance in sustainable production.