Condition-based Maintenance Optimization for Gamma Deteriorating Systems under Performance-based Contracting

Chinese Journal of Mechanical Engineering

Original Article

Liang Wen¹  Xi Zhu¹  Qiwei Hu¹  Juan Li¹  Mingchang Song¹ 

[1] Army Engineering University of PLA, Shijiazhuang, China;

关键词: Performance-based contracting;    Condition-based maintenance;    Gamma process;    Profit maximization;    Inspection interval;   

DOI  :  10.1186/s10033-023-00849-x

 received in 2021-07-19, accepted in 2023-01-11,  发布年份 2023

来源: Springer

【 摘 要 】

With the further development of service-oriented, performance-based contracting (PBC) has been widely adopted in industry and manufacturing. However, maintenance optimization problems under PBC have not received enough attention. To further extend the scope of PBC’s application in the field of maintenance optimization, we investigate the condition-based maintenance (CBM) optimization for gamma deteriorating systems under PBC. Considering the repairable single-component system subject to the gamma degradation process, this paper proposes a CBM optimization model to maximize the profit and improve system performance at a relatively low cost under PBC. In the proposed CBM model, the first inspection interval has been considered in order to reduce the inspection frequency and the cost rate. Then, a particle swarm algorithm (PSO) and related solution procedure are presented to solve the multiple decision variables in our proposed model. In the end, a numerical example is provided so as to demonstrate the superiority of the presented model. By comparing the proposed policy with the conventional ones, the superiority of our proposed policy is proved, which can bring more profits to providers and improve performance. Sensitivity analysis is conducted in order to research the effect of corrective maintenance cost and time required for corrective maintenance on optimization policy. A comparative study is given to illustrate the necessity of distinguishing the first inspection interval or not.

【 授权许可】

CC BY   
© The Author(s) 2023

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