The impact of process deterioration on production and maintenance policies

• Published in: European journal of operational research 2013-05, Vol.227 (1), p.88-100
• Main Authors: Kazaz, Burak, Sloan, Thomas W.
• Format: Article
• Language: English
• Subjects: Decision analysis; Demand; Maintenance; Manufacturing; Markov analysis; Production management; Repair & maintenance; Scheduling; Studies
• ISSN: 0377-2217; 1872-6860
• DOI: 10.1016/j.ejor.2012.11.052

► SMDP model to choose among multiple maintenance actions and multiple products. ► Production and maintenance actions can alter the level of equipment deterioration. ► We develop critical ratios to choose between maintenance and production actions. ► Minimum throughput requirements make production more attractive in better states. ► Maximum throughput requirements increase the frequency of maintenance actions. This paper examines a single-stage production system that deteriorates with production actions, and improves with maintenance. The condition of the process can be in any of several discrete states, and transitions from state to state follow a semi-Markov process. The firm can produce multiple products, which differ by profit earned, expected processing time, and impact on equipment deterioration. The firm can also perform different maintenance actions, which differ by cost incurred, expected down time, and impact on the process condition. The firm needs to determine the optimal production and maintenance choices in each state in a way that maximizes the long-run expected average reward per unit time. The paper makes four contributions: (1) It introduces three critical ratios for the firm’s choices. The first enables the firm to decide whether to manufacture or perform maintenance, the second reveals the best product to manufacture, and the third determines the best maintenance action. The economic interpretations of these critical ratios provide managerial insights. (2) The paper shows how the critical ratios can be combined in order to determine the optimal policy, simultaneously accounting for the trade-offs involving production profits, maintenance costs, and the impact on the process condition. We show how these results generalize to problem settings with an arbitrary number of machine states. (3) The paper demonstrates the impact of market demand conditions on the optimal policy. And (4) it develops a set of sufficient conditions that lead to monotone optimal policies. These conditions generalize those reported in earlier studies.