Optimal joint maintenance and operation policies to maximise Overall Systems Effectiveness

Mohammad M. AlDurgam, Salih O. Duffuaa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

In this paper, the problem of determining the optimal maintenance and operation policies for a multi-state, multi-stage machine maintenance problem is considered. This problem has been formulated in the literature as a Partially Observed Markov Decision Process (POMDP). A new formulation that explicitly ties maintenance, operation, and quality within the POMDP framework is provided. The new formulation maximises Overall Systems Effectiveness for an n-state system with multiple speed and maintenance actions. The model provides, for each time epoch, a set of optimal maintenance and production-rate actions. The decision-maker (controller) can select the optimal policy depending on the system state occupancy vector (belief state). A realistic numerical model is presented to demonstrate the model utility.

Original languageEnglish
Pages (from-to)1319-1330
Number of pages12
JournalInternational Journal of Production Research
Volume51
Issue number5
DOIs
StatePublished - 2013

Bibliographical note

Funding Information:
The authors would like to acknowledge the support provided by the department of Systems Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia for conducting this research. Also, the authors are grateful to anonymous reviewers for their valuable input.

Keywords

  • Maintenance
  • Overall systems effectiveness
  • Partially Observed Markov Decision Process

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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