A review of optimization on preventive maintenance interval based on availability

LI Junliang, CHEN Yueliang, ZHANG Yong, WANG Chenguang

Systems Engineering - Theory & Practice ›› 2021, Vol. 41 ›› Issue (6) : 1611-1624.

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PDF(1138 KB)
Systems Engineering - Theory & Practice ›› 2021, Vol. 41 ›› Issue (6) : 1611-1624. DOI: 10.12011/SETP2019-1645

A review of optimization on preventive maintenance interval based on availability

  • LI Junliang1,2, CHEN Yueliang1, ZHANG Yong1, WANG Chenguang1
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Abstract

Preventive maintenance is one of the main maintenance methods for repairable equipment. The decision of preventive maintenance interval involves multiple factors such as equipment reliability, maintainability and support cost. Preventive maintenance interval decision-making has always been an important issue that the equipment design, production, user and support departments are concerned about and urgently need to solve. Availability is a top-level indicator of equipment, reflecting a variety of general quality characteristics such as equipment reliability, maintainability and supportability. This paper comprehensively analyzes the current status of preventive maintenance interval optimization for complex repairable equipment based on availability, focusing on the research results on the basic elements of availability modelling, modelling methods, and optimization of preventive maintenance intervals based on availability. It also analyzes the future development trends and research challenges in this field, which has certain guiding significance for the preventive maintenance interval decision of complex repairable equipment in the whole life cycle.

Key words

availability / reliability / maintainability / preventive maintenance interval / optimization

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LI Junliang , CHEN Yueliang , ZHANG Yong , WANG Chenguang. A review of optimization on preventive maintenance interval based on availability. Systems Engineering - Theory & Practice, 2021, 41(6): 1611-1624 https://doi.org/10.12011/SETP2019-1645

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Funding

China Postdoctoral Science Foundation (2019M653929); Natural Science Foundation of Shandong Province (ZR201910310210)
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