Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (6): 1342-1353.doi: 10.23919/JSEE.2022.000153

• RELIABILITY • Previous Articles    

Component reallocation and system replacement maintenance based on availability and cost in series systems

Yuqiang FU1(), Xiaoyang MA2,*()   

  1. 1 School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
    2 School of Information Management, Beijing Information Science & Technology University, Beijing 100192, China
  • Received:2021-08-25 Online:2022-12-18 Published:2022-12-24
  • Contact: Xiaoyang MA;
  • About author:
    FU Yuqiang was born in 1990. He received his Ph.D. degree in management science from University of Chinese Academy of Sciences, Beijing, China in 2019. He is a lecturer in the School of Mathematics and Physics from University of Science and Technology Beijing. His research interests include mathematical modelling, design of reliability system, optimization, reliability statistics, and importance measures. E-mail:

    MA Xiaoyang was born in 1989. She received her Ph.D. degree in management science and engineering from University of Science & Technology, Beijing, China in 2018. She is a lecturer in the School of Information Management from Beijing Information Science & Technology University. Her research interests include system reliability for complex system, preventive maintenance, statistics and optimization. E-mail:
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (72101025;72271049), the Fundamental Research Funds for the Central Universities (FRF-TP-20-073A1), and the China Postdoctoral Science Foundation (2021M690349)


Component reallocation (CR) is receiving increasing attention in many engineering systems with functionally interchangeable and unbalanced degradation components. This paper studies a CR and system replacement maintenance policy of series repairable systems, which undergoes minimal repairs for each emergency failure of components, and considers constant downtime and cost of minimal repair, CR and system replacement. Two binary mixed integer nonlinear programming models are respectively established to determine the assignment of CR, and the uptime right before CR and system replacement with the objective of minimizing the system average maintenance cost and maximizing the system availability. Further, we derive the optimal uptime right before system replacement with maximization of the system availability, and then give the relationship between the system availability and the component failure rate. Finally, numerical examples show that the CR and system replacement maintenance policy can effectively reduce the system average maintenance cost and improve the system availability, and further give the sensitivity analysis and insights of the CR and system replacement maintenance policy.

Key words: component reallocation (CR), system replacement, maintenance cost, availability, binary mixed integer nonlinear programming, minimal repair