A Research on the Combined Maintenance Strategy for Production Line Equipment Based on Mixed Failure Rate

Author:

Xu Binbin12ORCID,Wang Ziyue1ORCID,Luo Wei1ORCID,Ma Tianqi1ORCID,Huang Hao1ORCID

Affiliation:

1. Key Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China

2. Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China

Abstract

In order to improve the reliability of the production line and reduce its maintenance costs, this paper establishes preventive maintenance (PM) models of the equipment, which are classified into different levels based on mixed failure rate. The differential and targeted maintaining strategies are formulated as well. First, a method for dividing important equipment and secondary equipment of a production line based on grey interval Analytic Hierarchy Process- (AHP-) Entropy method is proposed. Next, the dynamic service age regression factor and the dynamic failure rate increasing factor are combined to establish a mixed failure rate model. Finally, for the important equipment and secondary equipment, two PM models are established with the constraint of reliability, the objective of maximum availability, and minimum maintenance cost rate to determine the optimal number of PM and cycles. Combined with an example of production line equipment, the optimal maintenance strategies for important equipment and secondary equipment are obtained. The result verified the feasibility of the model, which effectively improved the reliability of the production line equipment and reduced maintenance costs.

Funder

National Science and Technology Major Project of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A hierarchical evaluation index system for FMS reliability considering coupling relations between system elements;The International Journal of Advanced Manufacturing Technology;2021-07-20

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