Applications of maintenance optimization models: a review and analysis

Dekker, Rommert

doi:10.1016/0951-8320(95)00076-3

Cited by 754 publications

(398 citation statements)

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“…strategies and concepts, have been implemented by practitioners or suggested by intellectuals. Maintenance approaches and their development are discussed by many authors; see, for example (Moubray, 1991;Kelly, 1997;Mckone and Wiess, 1998;Dekker, 1996;Sherwin, 2000;Swanson, 2001;Tsang, 2002;Alsyouf, 2007). Usually, maintenance actions are aimed at minimising failure and the consequences of failure of industrial plant, machinery and equipment as far as possible.…”

Section: Maintenance Approachesmentioning

confidence: 99%

Maintenance practices in Swedish industries: Survey results

Alsyouf

2009

International Journal of Production Economics

112

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a b s t r a c tThe purpose of this paper is to investigate the maintenance practices that are used in Swedish industry. The study was performed by conducting a cross-sectional survey within Swedish firms that have at least 100 employees. The main results achieved from the study show that the role of maintenance is not highly recognised. There is a need to spend and invest more in maintenance, which is considered by the majority of Swedish industries as a necessary expense. Although about 13% of the maintenance department time is spent on planning maintenance tasks, nevertheless, about one third of the time is spent on unplanned tasks. There is a need for more adoption of maintenance concepts such as total productive maintenance (TPM) and reliability-centred maintenance (RCM). The lack or ineffectiveness of planning and scheduling can significantly restrict the maintenance department in achieving its objectives and can thus prevent the company from maximising business profits and offering competitive advantages.

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Section: Maintenance Approachesmentioning

confidence: 99%

Maintenance practices in Swedish industries: Survey results

Alsyouf

2009

International Journal of Production Economics

112

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“…There is an enormous number of models for planning maintenance activities and preventing failures in the literature and, in practice, there are proper models for most situations (e.g. Dekker, 1996). They are, however, not much used because of high complexity, lack of knowledge and data.…”

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confidence: 99%

The status of maintenance management in Swedish manufacturing firms

Jönsson

1997

Journal of Quality in Maintenance Engineering

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Presents a model of five linked maintenance management components (strategy, human aspects, support mechanisms, tools/techniques and organization). Analyses the present status of these components in Swedish manufacturing firms through a survey of 284 respondents. Shows that fewer than half have written maintenance strategies or computerized maintenance information systems and several give maintenance low status. The figures are lowest in small firms and in the timber industry. Preventive maintenance at fixed intervals and corrective maintenance are the most common maintenance techniques. However, condition monitoring is common in large paper and chemical firms. Also indicates that Swedish firms have not fully made maintenance a company‐wide issue, and that centralized maintenance departments dominate resources in large firms, but outsourcing has become important in small firms. Many of these figures are considered not to be optimal, but the average firm should be able to improve.

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“…There are a number of QMO techniques in the field of Applied Mathematics and Operational Research, for example, Markov Chains and Analytical hierarchy processes [13]; Genetic Algorithms [14] etc. However, most of the approaches are criticised for being developed for mathematical purposes only and are seldom used in practical asset management to solve real-life maintenance problems [12].…”

Section: Quantitative Maintenance Optimisationmentioning

confidence: 99%

“…Quantitative maintenance optimisation (QMO) techniques employ a mathematical model in which both costs and benefits of maintenance are quantified and an optimum balance between both is obtained [12]. There are a number of QMO techniques in the field of Applied Mathematics and Operational Research, for example, Markov Chains and Analytical hierarchy processes [13]; Genetic Algorithms [14] etc.…”

Section: Quantitative Maintenance Optimisationmentioning

confidence: 99%

Wind Turbine Maintenance Optimisation: Principles of Quantitative Maintenance Optimisation

2007

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Maintenance optimisation is a crucial issue for industries that utilise physical assets due to its impact on costs, risks and performance. Current quantitative maintenance optimisation techniques include Modelling System Failures MSF (using monte-carlo simulation) and Delay-Time Maintenance Model (DTMM). The MSF investigates equipment failure patterns by using failure distribution, resource availability and spareholdings to determine optimum maintenance requirements. The DTMM approach examines equipment failure patterns by considering failure consequences, inspection costs and the period to determine optimum inspection intervals. This paper discusses the concept, relevance and applicability of the MSF and DTMM techniques to the wind energy industry. Institutional consideration as well as the benefits of practical implementation of the techniques are highlighted and discussed.

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Applications of maintenance optimization models: a review and analysis

Abstract: In this paper we give an overview of applications of maintenance optimization models published so far. We analyze the role of these models in maintenance and discuss the factors which may have hampered applications. Finally, we discuss future prospects.

Cited by 754 publications

References 60 publications

Maintenance practices in Swedish industries: Survey results

Maintenance practices in Swedish industries: Survey results

The status of maintenance management in Swedish manufacturing firms

Wind Turbine Maintenance Optimisation: Principles of Quantitative Maintenance Optimisation

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