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 language | English |
---|---|
Pages (from-to) | 1319-1330 |
Number of pages | 12 |
Journal | International Journal of Production Research |
Volume | 51 |
Issue number | 5 |
DOIs | |
State | Published - 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