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

Authors

  • Schalk Grobbelaar University of Pretoria
  • Jacobus Krige Visser University of Pretoria

DOI:

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

Keywords:

Maintenance, Strategies, Decisions, Condition

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.

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Author Biographies

Schalk Grobbelaar, University of Pretoria

Graduate School of Technology Management

Jacobus Krige Visser, University of Pretoria

Graduate School of Technology Management, Professor

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Published

2015-05-08

How to Cite

Grobbelaar, S., & Visser, J. K. (2015). DETERMINING THE COST OF PREDICTIVE COMPONENT REPLACEMENT IN ORDER TO ASSIST WITH MAINTENANCE DECISION-MAKING. The South African Journal of Industrial Engineering, 26(1), 150–162. https://doi.org/10.7166/26-1-713

Issue

Vol. 26 No. 1 (2015)

Section

General Articles

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