Open AccessJoint optimization strategy of condition-based preventive replacement and spare parts ordering for multi-unit systems
Author(s) -
Hongqing Ye,
Haochen Wang,
Huade Su,
Jie Lin,
Wei Weng,
Meimei Zheng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1983/1/012120
Subject(s) - spare part , mathematical optimization , preventive maintenance , markov decision process , process (computing) , computer science , condition based maintenance , joint (building) , unit (ring theory) , markov chain , markov process , reliability engineering , mathematics , engineering , operations management , structural engineering , statistics , mathematics education , machine learning , operating system
To solve the joint optimization problem of condition-based maintenance and spare parts ordering for multi-unit systems, an exact formulation based on the Markov decision process is proposed. The condition of components is described by a continuous process, i.e., the Wiener process. The system is inspected periodically and the remaining useful life is updated based on components’ condition. Through the value iteration algorithm, the optimal policy is obtained by minimizing the average maintenance and ordering cost. A numerical investigation with a two-unit system is conducted to validate the effectiveness of our policy by comparison with the threshold strategy.