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Simultaneous determination of production and maintenance schedules using in‐line equipment condition and yield information

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  • Thomas Sloan

Abstract

In many manufacturing environments, equipment condition has a significant impact on product quality, or yield. This paper presents a semi‐Markov decision process model of a single‐stage production system with multiple products and multiple maintenance actions. The model simultaneously determines maintenance and production schedules, accounting for the fact that equipment condition affects the yield of each product differently. It extends earlier work by allowing the expected time between decision epochs to vary by both action and machine state, by allowing multiple maintenance actions, and by treating the outcome of maintenance as less than certain. Sufficient conditions are developed that ensure the monotonicity of both the optimal production and maintenance actions. While the maintenance conditions closely resemble previously studied conditions for this type of problem, the production conditions represent a significant departure from earlier results. The simultaneous solution method is compared to an approach commonly used in industry, where the maintenance and production problems are treated independently. Solving more than one thousand test problems confirms that the combination of both features of the model—accounting for product differences and solving the problems simultaneously—has a significant impact on performance. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2008

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  • Thomas Sloan, 2008. "Simultaneous determination of production and maintenance schedules using in‐line equipment condition and yield information," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(2), pages 116-129, March.
    • Handle: RePEc:wly:navres:v:55:y:2008:i:2:p:116-129
    DOI: 10.1002/nav.20270
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    3. Huidong Zhang & Dragan Djurdjanovic, 2022. "Integrated production and maintenance planning under uncertain demand with concurrent learning of yield rate," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 429-450, June.

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