DETERMINING THE COST OF PREDICTIVE COMPONENT REPLACEMENT IN ORDER TO ASSIST WITH MAINTENANCE DECISION-MAKING

Schalk Grobbelaar, Jacobus Krige Visser

Abstract


Asset and maintenance managers are often confronted with difficult decisions related to asset replacement or repair. Various analytical models, such as decision analysis and simulation, can assist a manager in making better decisions. This paper proposes that by combining renewal theory with decision analysis methods, the expected value (EV) of information for non-repairable components can be calculated. Subsequently, it is proposed that this method can be used to determine the expected replacement cost per unit time of predictive maintenance. It is argued that this predicted cost will give the maintenance decision-maker the ability to compare it to the cost of alternative maintenance strategies when choosing between strategies. Although this paper is limited to non-repairable components, the theory and methodology can also be applied to repairable systems.


Keywords


Maintenance; Strategies; Decisions; Condition

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DOI: https://doi.org/10.7166/26-1-713

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Copyright (c) 2015 The South African Journal of Industrial Engineering


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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