Statistical‐based or condition‐based preventive maintenance?

Mann, Lawrence; Saxena, Anuj; Knapp, Gerald M.

doi:10.1108/13552519510083156

Cited by 116 publications

(76 citation statements)

References 24 publications

(24 reference statements)

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“…The identification and implementation of the appropriate maintenance policy will enable the managers to avoid premature replacement costs, maintain stable production capabilities, and prevent the deterioration of the system and its components. (See among others Williams et al, 1994;Mann et al, 1995;Dekker, 1996;Vineyard et al, 2000;Sherwin, 2000;Waeyenbergh and Pintelon, 2002. ) …”

Section: Maintenance Approachesmentioning

confidence: 99%

Maintenance practices in Swedish industries: Survey results

Alsyouf

2009

International Journal of Production Economics

113

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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

113

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“…This maintenance strategy is often called time-based preventive maintenance. For performing time-based preventive maintenance, we need to have a decision support system and it is often difficult to define the most effective maintenance intervals (Mann et al, 1995). There are, however, many cases when time-based maintenance strategies are implemented and most machines are maintained with a substantial amount of useful life remaining (Mechefske & Wang, 2003).…”

Section: Time-based Preventive Maintenancementioning

confidence: 99%

An improved MCDM method for maintenance approach selection: A case study of auto industry

Aghaie¹,

Fazli²

2012

MSL

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In the current competitive environment, managers have been making attempts to convert organizations under their supervision into competitive and responsive through creating capability of timely delivery of quality products and services. In line with this, maintenance as a system plays an important role in achieving these goals. The maintenance strategy selection is a kind of multiple criteria decision-making (MCDM) problem, which requires considering a large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. The analytic network process (ANP) is a relatively new MCDM method, which can deal with all kinds of interactions systematically. Moreover, the Decision Making Trial and Evaluation Laboratory (DEMATEL) not only can convert the relations between cause and effect of criteria into a visual structural model, but also can be used as a way to handle the inner dependences within a set of criteria. Hence, this paper proposes an effective solution based on a combined ANP and DEMATEL approach to help vehicle companies that need to evaluate and select maintenance strategies.

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“…Traditional preventive maintenance models are using policies such as age replacement and block replacement (Reineke et al, 1999). One of the disadvantages of the PM is that PM is only economical where the standard deviation of the failure population is small (Mann et al, 1995). The other critical aspects considering PM are the lack of decision support systems and insufficient historical data (see Dekker, 1996;Al-Najjar and Alsyouf, 2003).…”

Section: Introductionmentioning

confidence: 99%

An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection

et al. 2014

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Purpose: The purpose of this paper is to apply an analytic hierarchy process (AHP) for the evaluation/selection of maintenance policy. Methodology/Approach: The paper adopts a case study approach of selecting most appropriate maintenance policy in the case of Slovenian paper mill company. Several steps of the AHP method are used in order to structure the decisionmaking process. Five possible alternatives are considered: failure based maintenance, preventive maintenance, total productive maintenance, reliability centered maintenance and total quality maintenance. Findings: This paper proposes a framework for maintenance policy selection based on the AHP methodology. The framework was applied to select the most appropriate maintenance policy in a paper mill company. The results suggest that total quality maintenance is the most suitable concept for a paper machine. By performing a sensitivity analysis, it was revealed that the final outcome remained stable in all cases when the weights of the main criteria were increased for 25 percent. Originality/value: The paper contributes to the literature by providing a framework for decision-making process regarding the maintenance policy selection. In addition, this paper utilizes an exponentially weighted moving average (EWMA) chart for performing a consistency test. Moreover, a sensitivity analysis also presents an important implication of this study.

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Statistical‐based or condition‐based preventive maintenance?

Cited by 116 publications

References 24 publications

Maintenance practices in Swedish industries: Survey results

Maintenance practices in Swedish industries: Survey results

An improved MCDM method for maintenance approach selection: A case study of auto industry

An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection

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