Optimization of Joint Policy of Condition-Based Maintenance and Spare Part Ordering Considering Imperfect Maintenance

doi:10.12068/j.issn.1005-3026.2022.10.007

Abstract

Abstract: Considering most studies focused on the maintenance policy optimization but neglected the ordering decision of spare parts， a joint policy of condition-based maintenance and spare part ordering under imperfect maintenance for single-component systems based on the remaining useful life(RUL)was proposed. The control limit policy was used to determine whether to perform minimal maintenance， preventive maintenance or corrective replacement. When the system degradation reaches the preventive maintenance threshold， the imperfect maintenance was carried out. Simultaneously， the RUL was predicted and the preventive replacement threshold and ordering threshold were introduced to decide whether to carry out preventive replacement or order spare parts. Considering the degradation state of systems and the state of spare parts， all the possible update events were analyzed to calculate the occurrence probability of each event， and the cost-time rate model of such a joint policy was constructed by using the renewal award theorem. Finally， the discrete event simulation algorithm was designed to optimize the detection interval and the imperfect maintenance threshold in a numerical example， and the effectiveness of the proposed model and algorithm was verified as well.

Key words: condition-based maintenance; remaining useful life(RUL); spare part ordering; detection interval; preventive maintenance

CLC Number:

TP20

ZHAO Fei， LI Xin， GUO Ming. Optimization of Joint Policy of Condition-Based Maintenance and Spare Part Ordering Considering Imperfect Maintenance[J]. Journal of Northeastern University(Natural Science), 2022, 43(10): 1413-1421.

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