IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v256y2025ics0951832024007476.html

Reliability analysis and optimization of multi-product manufacturing systems based on two types of maintenance mechanisms

Author

Listed:
  • Zhou, Yiyan
  • Hu, Linmin
  • Peng, Rui
  • Li, Jing

Abstract

Production efficiency, product quality and cost control are the focus issues that manufacturers are extremely concerned about. Multi-product manufacturing systems can mitigate uncertainty and enhance flexibility in the production process. In order to comprehensively explore the characteristics of multi-product manufacturing systems, this paper selects a two-product manufacturing system with setup time as the research object, and introduces a machine maintenance mechanism combining preventive maintenance(PM) with post-failure repair to analyze reliability and optimization problems of the manufacturing system. The Markov process approach is utilized for system modeling and analysis. Based on matrix equations, an iterative solution is employed to calculate the steady-state probabilities. This method yields production management indexes such as system throughput, the average work-in-process of the system and system mission completion rate. Additionally, it helps define and derive reliability indexes of the machine, including mean available time(MAT) and mean time before first unavailable(MTBFU). Based on numerical experiments, the influence degree and underlying reasons of each parameter on the performance indexes of the system and the machine are analyzed. The bi-objective genetic algorithm is used to determine optimal operating cost solutions for the manufacturing system.

Suggested Citation

  • Zhou, Yiyan & Hu, Linmin & Peng, Rui & Li, Jing, 2025. "Reliability analysis and optimization of multi-product manufacturing systems based on two types of maintenance mechanisms," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
  • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007476
    DOI: 10.1016/j.ress.2024.110676
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024007476
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2024.110676?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wei, Shuaichong & Nourelfath, Mustapha & Nahas, Nabil, 2023. "Analysis of a production line subject to degradation and preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    2. Ali Davari & Maliheh Ganji & Seyed Mojtaba Sajadi, 2022. "An integrated simulation-fuzzy model for preventive maintenance optimisation in multi-product production firms," Journal of Simulation, Taylor & Francis Journals, vol. 16(4), pages 374-391, July.
    3. Xiao, Lei & Song, Sanling & Chen, Xiaohui & Coit, David W., 2016. "Joint optimization of production scheduling and machine group preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 68-78.
    4. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Qi, Faqun & Yang, Huaqing & Wei, Lai & Shu, Xinting, 2024. "Preventive maintenance policy optimization for a weighted k-out-of-n: G system using the survival signature," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    6. Ravi Suman & Ananth Krishnamurthy, 2020. "Analysis of tandem polling queues with finite buffers," Annals of Operations Research, Springer, vol. 293(1), pages 343-369, October.
    7. Hsieh, Tsung-Jung, 2023. "Performance indicator-based multi-objective reliability optimization for multi-type production systems with heterogeneous machines," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    8. Gupta, Diwakar & Gunalay, Yavuz & Srinivasan, Mandyam M., 2001. "The relationship between preventive maintenance and manufacturing system performance," European Journal of Operational Research, Elsevier, vol. 132(1), pages 146-162, July.
    9. Ye, Zhenggeng & Cai, Zhiqiang & Zhou, Fuli & Zhao, Jiangbin & Zhang, Pan, 2019. "Reliability analysis for series manufacturing system with imperfect inspection considering the interaction between quality and degradation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 345-356.
    10. Wang, Yan & Hu, Linmin & Yang, Li & Li, Jing, 2022. "Reliability modeling and analysis for linear consecutive-k-out-of-n: F retrial systems with two maintenance activities," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    11. Saffer, Zsolt & Telek, Miklós, 2009. "Stability of periodic polling system with BMAP arrivals," European Journal of Operational Research, Elsevier, vol. 197(1), pages 188-195, August.
    12. Dui, Hongyan & Xu, Huiting & Zhang, Luyu & Wang, Jia, 2023. "Cost-based preventive maintenance of industrial robot system," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    13. Chang, Ping-Chen & Lin, Yi-Kuei & Chiang, Yu-Min, 2019. "System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers––A simulation approach," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 103-109.
    14. Boumallessa, Zeineb & Chouikhi, Houssam & Elleuch, Mounir & Bentaher, Hatem, 2023. "Modeling and optimizing the maintenance schedule using dynamic quality and machine condition monitors in an unreliable single production system," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    15. Gan, Shuyuan & Shen, Nan, 2023. "Maintenance Optimization for a Production System Subject to Shocks Considering a Buffer Inventory and Production Defects," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    16. Finkelstein, Maxim & Cha, Ji Hwan & Bedford, Tim, 2023. "Optimal preventive maintenance strategy for populations of systems that generate outputs," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    17. Levitin, G. & Meizin, L., 2001. "Structure optimization for continuous production systems with buffers under reliability constraints," International Journal of Production Economics, Elsevier, vol. 70(1), pages 77-87, March.
    18. Li, Yaping & Xia, Tangbin & Chen, Zhen & Pan, Ershun, 2023. "Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    19. Ningxuan Kang & Li Zheng & Jingshan Li, 2015. "Analysis of multi-product manufacturing systems with arbitrary processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 983-1001, February.
    20. Fakher, Hossein Beheshti & Nourelfath, Mustapha & Gendreau, Michel, 2018. "Integrating production, maintenance and quality: A multi-period multi-product profit-maximization model," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 191-201.
    21. Vladimir Vishnevsky & Olga Semenova, 2021. "Polling Systems and Their Application to Telecommunication Networks," Mathematics, MDPI, vol. 9(2), pages 1-30, January.
    22. Lillo, Rosa E., 2005. "Ergodicity and analysis of the process describing the system state in polling systems with two queues," European Journal of Operational Research, Elsevier, vol. 167(1), pages 144-162, November.
    23. Ravi Suman & Ananth Krishnamurthy, 2024. "Analysis of two-station polling queues with setups," Annals of Operations Research, Springer, vol. 333(1), pages 417-437, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Krpelik, Daniel & Vrtal, Matej & Bris, Radim & Praks, Pavel & Fujdiak, Radek & Toman, Petr, 2026. "Multi-objective optimization of smart grid operations via preventive maintenance scheduling using time-dependent unavailability," Reliability Engineering and System Safety, Elsevier, vol. 265(PA).
    2. Anjali, C.K. & Kolledath, Sreekanth & Chakravarthy, Srinivas R., 2026. "Analysis of a reliability model with shocks and phase type repair process," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
    3. Zhang, Ding & Quan, Weijie & Yan, Duxi & Leng, Jiewu & Liu, Qiang, 2026. "A model predictive control approach for preventive maintenance optimization of an electronic assembly system," Reliability Engineering and System Safety, Elsevier, vol. 269(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ye, Zhenggeng & Cai, Zhiqiang & Yang, Hui & Si, Shubin & Zhou, Fuli, 2023. "Joint optimization of maintenance and quality inspection for manufacturing networks based on deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    2. Meng, Yinghao & Qi, Faqun & Liu, Bowen & Yin, Zhen & Ye, Shuwen & Zhang, Haosen, 2025. "Joint optimization of maintenance strategy and buffer capacity for a multi-state buffered serial system considering self-repair actions," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    3. Geurtsen, M. & Leenen, C. & Adan, I. & Atan, Z., 2026. "Deep reinforcement learning for optimal planning of production line maintenance with deterioration," Reliability Engineering and System Safety, Elsevier, vol. 266(PB).
    4. Wei, Xiaotong & Wang, Yalong & He, Yingdong & Liu, Zixian & He, Zhen, 2025. "Integrated production, maintenance and quality control for complex manufacturing systems considering imperfect maintenance and dynamic inspection," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
    5. Yao, Jinyong & Gao, Zhanfei & He, Yihai & Peng, Chong, 2024. "Integrated mission reliability modeling for multistate manufacturing systems considering heterogeneous feedstocks based on extended stochastic flow manufacturing network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Lv, Xiaolei & Shi, Liangxing & He, Yingdong & He, Zhen, 2025. "Condition-based production: Maximizing manufacturing revenue considering failure risk and reject rates," European Journal of Operational Research, Elsevier, vol. 327(1), pages 218-231.
    7. Dui, Hongyan & Wang, Hengbo & Yang, Yong & Xing, Liudong, 2025. "IoT-based mission reliability evaluation and maintenance optimization of intelligent manufacturing systems integrating human errors and heterogeneous feedstocks," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
    8. Ding, Chen & Qiao, Fei & Wang, Dongyuan & Liu, Juan, 2025. "Adaptive real-time scheduling for production and maintenance: Integrating RUL prediction with multi-agent deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
    9. Shen, Yilan & Zhang, Xi & Shi, Leyuan, 2022. "Joint optimization of production and maintenance for a serial–parallel hybrid two-stage production system," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    10. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    11. Li, Yao & He, Yihai & Ai, Jun & Wang, Chengcheng & Han, Xiao & Liao, Ruoyu & Yang, Xiuzhen, 2022. "Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    12. Qi Shao & Linmin Hu & Fan Xu, 2024. "Reliability and Optimization for k-out-of-n: G Mixed Standby Retrial System with Dependency and J-Vacation," Methodology and Computing in Applied Probability, Springer, vol. 26(1), pages 1-27, March.
    13. Azizi, Fariba & Salari, Nooshin, 2023. "A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth–death processes," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    14. Zhang, Fengxia & Shen, Jingyuan & Liao, Haitao & Ma, Yizhong, 2021. "Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    15. Li, Meiyan & Wu, Bei, 2024. "Optimal condition-based opportunistic maintenance policy for two-component systems considering common cause failure," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    16. Arnaud Devos & Joris Walraevens & Herwig Bruneel, 2024. "Analysis of A Two-queue Discrete-time Model with Random Alternating Service Under High Occupancy in One Queue," Methodology and Computing in Applied Probability, Springer, vol. 26(4), pages 1-21, December.
    17. Zhou, Jing & Liu, Yu & Liang, Decui & Tang, Maochun, 2023. "A new risk analysis approach to seek best production action during new product introduction," International Journal of Production Economics, Elsevier, vol. 262(C).
    18. Singa Wang Chiu & Liang-Wei You & Tsu-Ming Yeh & Tiffany Chiu, 2020. "The Collective Influence of Component Commonality, Adjustable-Rate, Postponement, and Rework on Multi-Item Manufacturing Decision," Mathematics, MDPI, vol. 8(9), pages 1-18, September.
    19. Samira Taleb & Amar Aissani, 2016. "Preventive maintenance in an unreliable M/G/1 retrial queue with persistent and impatient customers," Annals of Operations Research, Springer, vol. 247(1), pages 291-317, December.
    20. Xiao, Lei & Zhang, Xinghui & Tang, Junxuan & Zhou, Yaqin, 2020. "Joint optimization of opportunistic maintenance and production scheduling considering batch production mode and varying operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.