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Imperfect Maintenance Policy for a Two-Machine One-Buffer System Based on Markov Decision Process
oleh: TIAN Xueyan, WANG Mengya, PAN Ershun
Format: | Article |
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Diterbitkan: | Editorial Office of Journal of Shanghai Jiao Tong University 2021-04-01 |
Deskripsi
To solve the problem of machine maintenance optimization of degraded systems, the preventive maintenance policy of a two-machine one-buffer production system is studied. First, random degradations of both machines are considered. For imperfect minimal repair and preventive maintenance, a Markov process is used to describe the system state. Then, a profit model for the production system is established based on cost and income. Finally, preventive maintenance decisions in different system states are determined by maximizing long-term expected profits. The model is solved by value iteration, and numerical analysis results show that the maintenance decision of the machine depends not only on its own state, but also on the state of other machines and the amount of the buffer.