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Article
Publication date: 13 November 2019

Khaled Alhamad and Mohammad Alhajri

The purpose of this paper is to describe a method that has been set up to schedule preventive maintenance (PM) tasks for power and water plants with all constraints such…

Abstract

Purpose

The purpose of this paper is to describe a method that has been set up to schedule preventive maintenance (PM) tasks for power and water plants with all constraints such as production and maintenance.

Design/methodology/approach

The proposed methodology relies on the zero-one integer programming model that finds the maximum number of power and water units available in separate generating units. To verify this, the model was implemented and tested as a case study in Kuwait for the Cogeneration Station.

Findings

An effective solution can be achieved for scheduling the PM tasks and production at the power and water cogeneration plant.

Practical implications

The proposed model offers a practical method to schedule PM of power and water units, which are expensive equipment.

Originality/value

This proposed model is an effective decision-making tool that provides an ideal solution for preventive maintenance scheduling problems for power and water units in a cogeneration plant, effectively and complies with all constraints.

Details

Journal of Quality in Maintenance Engineering, vol. 26 no. 4
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 29 March 2011

Anil Sharma, G.S. Yadava and S.G. Deshmukh

The purpose of this paper is to review the literature on maintenance optimization models and associated case studies. For these optimization models critical observations are made.

Abstract

Purpose

The purpose of this paper is to review the literature on maintenance optimization models and associated case studies. For these optimization models critical observations are made.

Design/methodology/approach

The paper systematically classifies the published literature using different techniques, and also identifies the possible gaps.

Findings

The paper outlines important techniques used in various maintenance optimization models including the analytical hierarchy process, the Bayesian approach, the Galbraith information processing model and genetic algorithms. There is an emerging trend towards uses of simulation for maintenance optimization which has changed the maintenance view.

Practical implications

A limited literature is available on the classification of maintenance optimization models and on its associated case studies. The paper classifies the literature on maintenance optimization models on different optimization techniques and based on emerging trends it outlines the directions for future research in the area of maintenance optimization.

Originality/value

The paper provides many references and case studies on maintenance optimization models and techniques. It gives useful references for maintenance management professionals and researchers working on maintenance optimization.

Details

Journal of Quality in Maintenance Engineering, vol. 17 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 1 March 1996

S. Srikrishna, G.S. Yadava and P.N. Rao

Availability of auxiliary equipment for coal‐based power plants is very important for the achievement of maximum generation and the improvement of plant load factor (PLF)…

Abstract

Availability of auxiliary equipment for coal‐based power plants is very important for the achievement of maximum generation and the improvement of plant load factor (PLF). In this context a realistic maintenance programme based on plant‐specific failure data will help to achieve an optimum performance level. Reliability‐centred maintenance (RCM) is a recent technique which is limited to a few areas and has implementation difficulties. Presents a realistic RCM‐based maintenance methodology for coal‐based power plant auxiliaries. Applies the methodology to the bowl mill, an item of auxiliary equipment. Presents results and savings that have been achieved with the application of the methodology.

Details

Journal of Quality in Maintenance Engineering, vol. 2 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 14 March 2008

S. Saraswat and G.S. Yadava

The purpose of this paper is to provide an overview of RAMS engineering in industry and research.

Abstract

Purpose

The purpose of this paper is to provide an overview of RAMS engineering in industry and research.

Design/methodology/approach

A range of research articles (1988‐2005) covering RAMS engineering is discussed to provide a practical and theoretical overview of RAMS engineering in industry and research.

Findings

The paper provides information about the current scenario and also about the past scenario of RAMS engineering in research and industry. Research limitations/implications – This paper reviews much of the literature on RAMS engineering. The literature is collected from major journals and conference proceedings, the period covered is from 1988 to 2005. The authors have tried to make it reasonably comprehensive, but those papers which are not included were either inadvertently overlooked or considered peripheral to this survey. In the present work the authors have only considered those articles which have included two or more aspects of RAMS. Practical implications – The paper is a very useful source of information for researchers working in the area of RAMS engineering. Originality/value – This paper offers help to researchers in understanding the current and past status of RAMS.

Details

International Journal of Quality & Reliability Management, vol. 25 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 15 April 2020

Chandra Shekhar, Amit Gupta, Madhu Jain and Neeraj Kumar

The purpose of this paper is to present a sensitivity analysis of fault-tolerant redundant repairable computing systems with imperfect coverage, reboot and recovery process.

Abstract

Purpose

The purpose of this paper is to present a sensitivity analysis of fault-tolerant redundant repairable computing systems with imperfect coverage, reboot and recovery process.

Design/methodology/approach

In this investigation, the authors consider the computing system having a finite number of identical working units functioning simultaneously with the provision of standby units. Working and standby units are prone to random failure in nature and are administered by unreliable software, which is also likely to unpredictable failure. The redundant repairable computing system is modeled as a Markovian machine interference problem with exponentially distributed failure rates and service rates. To excerpt the failed unit from the computing system, the system either opts randomized reboot process or leads to recovery delay.

Findings

Transient-state probabilities have been determined with which the authors develop various reliability measures, namely reliability/availability, mean time to failure, failure frequency, and so on, and queueing characteristics, namely expected number of failed units, the throughput of the system and so on, for the predictive purpose. To spectacle the practicability of the developed model, a numerical simulation, sensitivity analysis and so on for different parameters have also been done, and the results are summarized in the tables and graphs. The transient results are helpful to analyze the developing model of the system before having the stability of the system. The derived measures give direct insights into parametric decision-making.

Social implications

The conclusion has been drawn, and future scope is remarked. The present research study would help system analyst and system designer to make a better choice/decision in order to have the economical design and strategy based on the desired mean time to failure, reliability/availability of the systems and other queueing characteristics.

Originality/value

Different from previous investigations, this studied model provides a more accurate assessment of the computing system compared to uncertain environments based on sensitivity analysis.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

Content available
Article
Publication date: 8 December 2020

Huiru Zhang, Limin Jia, Li Wang and Yong Qin

Based on complex network theory, a method for critical elements identification of China Railway High-speed 2 (CRH2) train system is introduced in this paper.

Abstract

Purpose

Based on complex network theory, a method for critical elements identification of China Railway High-speed 2 (CRH2) train system is introduced in this paper.

Design/methodology/approach

First, two methods, reliability theory and complex theory, are introduced, and the advantages and disadvantages for their application in identifying critical elements of high-speed train system are summarized. Second, a multi-layer multi-granularity network model including virtual and actual nodes is proposed, and the corresponding fusion rules for the same nodes in different layers are given.

Findings

Finally, taking CRH2 train system as an example, the critical elements are identified by using complex network theory, which provides a reference for train operation and maintenance.

Originality/value

A method of identifying key elements of CRH2 train system based on integrated importance indices is introduced, which is a meaningful extension of the application of complex network theory to identify key components.

Details

Smart and Resilient Transport, vol. 2 no. 1
Type: Research Article
ISSN: 2632-0487

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Article
Publication date: 5 November 2020

Tarwaji Warsokusumo, Toni Prahasto and Achmad Widodo

The study aims to perform an extensive literature review in the area of the maintenance decision analysis (MDA), especially in power generation systems. In the basis of…

Abstract

Purpose

The study aims to perform an extensive literature review in the area of the maintenance decision analysis (MDA), especially in power generation systems. In the basis of this review, the paper proposes a new model for the MDA which involves a combination of reliability, availability, maintainability and safety (RAMS) performance with energy efficiency performance (EEP).

Design/methodology/approach

Starting from the opportunity in Sustainable Development Scenario (SDS) by improving the energy efficiency (EE) and using renewable energy for the power generation system, also concerning to the major challenge of maintenance optimization in order to implement maintenance strategy, the maintenance decision-making and energetic efficiency management system (EEMS) have been reviewed. In the context of power generation system's performance, the measurement is also analyzed and identified. Then, the extensive literature review has been performed to compare between RAMS and EEP. And finally, the limitation and gap, where EEP is not yet a complementary consideration during MDA being identified and a new model for the performance-based MDA is proposed.

Findings

The new model proposed for the performance-based MDA is able to be used to conduct maintenance decision by utilizing the combination of RAMS and EEP depending on the type of decision required.

Practical implications

There is an opportunity for a maintenance organization of power generation plant to apply this new model proposed for the MDA in order to optimize the maintenance scope and schedule.

Originality/value

The result of work in this paper forms the basis for combining RAMS with EEP as performance-based MDA tools in the context of maintenance of the power generation system.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 20 April 2010

Alex J. Ruiz‐Torres, Jianmei Zhang, Edgar Zapata, Arunkumar Pennathur, Russell Rhodes, Carey McCleskey and Marcella Cowen

The focus of this paper is on reliability and availability design goals. It aims to provide top‐level estimates of the safety and maintainability of future spacecraft systems.

Abstract

Purpose

The focus of this paper is on reliability and availability design goals. It aims to provide top‐level estimates of the safety and maintainability of future spacecraft systems.

Design/methodology/approach

The developed design tool uses basic reliability principles to estimate the probability of a safe mission and the need for repairs/replacement during ground processing, before launch and start of mission, based on the characteristics of the vehicle's main systems: the number of subsystems, the mean time to repair, and the per subsystem average reliability.

Findings

A simple reliability, maintainability and safety model is developed to support the top‐level design process of future space transportation vehicles. It also describes how the developed design tool uses various sensitivity analysis functions to improve design decisions.

Originality/value

The goal of the developed tool is to provide engineers/vehicle developers during the early stages of design with a tool that demonstrates the effect on maintainability of improving component reliability and reducing the number of components.

Details

International Journal of Quality & Reliability Management, vol. 27 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 6 June 2016

Ilaria De Sanctis, Claudia Paciarotti and Oreste Di Giovine

The purpose of this paper is to propose a practical method of performing maintenance in the offshore industry where engineers have to manage problems such as the high cost…

Abstract

Purpose

The purpose of this paper is to propose a practical method of performing maintenance in the offshore industry where engineers have to manage problems such as the high cost of operations, assuring an high availability of the plant, safety on board and environmental protection. Indeed an efficient maintenance method it is necessary in order to offer methods and criteria to select the rights maintenance strategies keeping in to account the environmental, safety and production constrains.

Design/methodology/approach

The paper provides an overview of reliability centered maintenance (RCM) and reliability, availability, maintainability methodologies and an integration of the two methodologies in a particular case study in the oil and gas sector.

Findings

This paper suggests an improvement of the well-established RCM methodology applicable to industries with high priority level. It is proposed an integration between a reliability analysis and an availability analysis and an application on the offshore oil and gas industry.

Practical implications

The methodology provides an excellent tool that can be utilized in industries, where safety, regulations and the availability of the plant play a fundamental role.

Originality/value

The proposed methodology provides a practical method for selecting the best maintenance strategy considering the equipment redundancy and sparing, the asset’s performance over long time scales, and the system uptime, downtime and slowdowns.

Details

International Journal of Quality & Reliability Management, vol. 33 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 1 June 2015

Kym Fraser, Hans-Henrik Hvolby and Tzu-Liang (Bill) Tseng

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…

Abstract

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.

Details

International Journal of Quality & Reliability Management, vol. 32 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

1 – 10 of 93