An optimal control problem for the maintenance of a machine. Issue 15 (18th November 2022)

• Record Type: Journal Article
• Authors: Lefebvre, Mario; Pazhoheshfar, Peiman
• Is Part Of: International journal of systems science. Volume 53:Issue 15(2022)
• Page Start: 3364
• Page End: 3373
• Publication Date: 2022-11-18
• Subjects: Stochastic optimal control -- discrete-time Markov process -- reliability -- dynamic programming -- first-passage time -- integral equation; 90B25 -- 93E20 -- 60J20; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2022.2083258
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : A controlled discrete-time stochastic process is proposed as a model for the state of a machine. In the proposed model, normal and random wear of the machine are considered. The random wear of the machine during a time unit can be either a discrete or a continuous random variable. The objective is to find a control policy that maximises the profits generated by the machine over its useful lifetime. In this problem, the optimiser must decide whether to do or not to do the maintenance work on the machine at each time unit. The significance of the paper is that the final time in the optimal control problem is a random variable denoting the first time the machine must be replaced. To obtain the optimal control, one can try to solve the dynamic programming equation, which reduces to a difference or an integral equation, satisfied by the value function. Finally, particular cases are solved exactly, or approximately, and explicitly to demonstrate and validate the proposed model.