Mechanical Engineering

Joint Group Maintenance Scheduling and Team Collaboration Sharing Strategy for Multi-Center Leasehold Manufacturing Network

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  • State Key Laboratory of Mechanical System and Vibration
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2022-03-21

  Accepted date: 2022-04-25

  Online published: 2022-09-16

Abstract

With the wide application of the service-oriented manufacturing mode, the scale of leasing manufacturing enterprises continues to expand, which leads to the global multi-regional development of maintenance outsourcing services. To address the multi-location maintenance scheduling problem of multi-center leasehold networks in the provision of “products+services”, this paper proposes a multi-center collaboration maintenance scheduling (MCMS) strategy with the dynamic interaction between the system level and the network level. At the system level, it considers the impact of the maintenance downtime, cumulative failure, and system combination selection on maintenance decisions, then optimizes the maintenance grouping of machines in the same manufacturing system. Based on the proposed optimization model, the group maintenance set and the corresponding maintenance start time can be obtained by minimizing the total maintenance cost. At the network level, it further considers the impact of service routing optimization, team dispatch selection, and maintenance response speed on scheduling decision, and then outputs the optimal service route for each team by minimizing the total scheduling cost. It also verifies the feasibility and cost-effectiveness of the MCMS strategy in the field of multi-location maintenance scheduling problems by analyzing the case study.

Cite this article

SI Guojin, LIN Zeyu, ZHENG Yu, XIA Tangbin, XI Lifeng . Joint Group Maintenance Scheduling and Team Collaboration Sharing Strategy for Multi-Center Leasehold Manufacturing Network[J]. Journal of Shanghai Jiaotong University, 2023 , 57(3) : 273 -284 . DOI: 10.16183/j.cnki.jsjtu.2022.074

References

[1] GAO J, YAO Y L, ZHU V C Y, et al. Service-oriented manufacturing: A new product pattern and manufacturing paradigm[J]. Journal of Intelligent Manufacturing, 2011, 22(3): 435-446.
[2] CHANG F, ZHOU G, ZHANG C, et al. A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems[J]. Journal of Manufacturing Systems, 2019, 53: 49-61.
[3] 孙博文, 郭闻雨, 夏唐斌, 等. 面向串并联生产系统机会维护的产能平衡导向租赁利润优化策略[J]. 上海交通大学学报, 2019, 53(3): 276-284.
[3] SUN Bowen, GUO Wenyu, XIA Tangbin, et al. Capacity balancing-oriented leasing profit optimization of opportunistic maintenance for leased series-parallel production system[J]. Journal of Shanghai Jiao Tong University, 2019, 53(3): 276-284.
[4] SI G, XIA T, PAN E, et al. Service-oriented global optimization integrating maintenance grouping and technician routing for multi-location multi-unit production systems[J]. IISE Transactions, 2022, 54(9): 894-907.
[5] CAMCI F. Maintenance scheduling of geographically distributed assets with prognostics information[J]. European Journal of Operational Research, 2015, 245(2): 506-516.
[6] LóPEZ-SANTANA E, AKHAVAN-TABATABAEI R, DIEULLE L, et al. On the combined maintenance and routing optimization problem[J]. Reliability Engineering & System Safety, 2016, 145: 199-214.
[7] IRAWAN C A, OUELHADJ D, JONES D, et al. Optimisation of maintenance routing and scheduling for offshore wind farms[J]. European Journal of Operational Research, 2017, 256(1): 76-89.
[8] NGUYEN H S H, DO P, VU H C, et al. Dynamic maintenance grouping and routing for geographically dispersed production systems[J]. Reliability Engineering & System Safety, 2019, 185: 392-404.
[9] 司国锦, 夏唐斌, 宋亚, 等. 面向租赁服务网络广域运维的3层机会维护调度策略[J]. 上海交通大学学报, 2019, 53(4): 387-395.
[9] SI Guojin, XIA Tangbin, SONG Ya, et al. Triple-level opportunistic maintenance optimization policy for multi-location operation and maintenance of leasehold service network[J]. Journal of Shanghai Jiao Tong University, 2019, 53(4): 387-395.
[10] DIAZ-RAMIREZ J, HUERTAS J I, TRIGOS F. Aircraft maintenance, routing, and crew scheduling planning for airlines with a single fleet and a single maintenance and crew base[J]. Computers & Industrial Engineering, 2014, 75: 68-78.
[11] SCHROTENBOER A H, UIT HET BROEK M A, JARGALSAIKHAN B, et al. Coordinating technician allocation and maintenance routing for offshore wind farms[J]. Computers & Operations Research, 2018, 98, 185-197.
[12] 韩笑乐, 鞠留红, 钱丽娜, 等. 集装箱进出口码头泊位-堆场协同分配的动态决策[J]. 上海交通大学学报, 2019, 53(1): 69-76.
[12] HAN Xiaole, JU Liuhong, QIAN Lina, et al. Dynamic decision making for the intergrated allocation of berth and import/export container terminals[J]. Journal of Shanghai Jiao Tong University, 2019, 53(1): 69-76.
[13] LI J, LI T, YU Y, et al. Discrete firefly algorithm with compound neighborhoods for asymmetric multi-depot vehicle routing problem in the maintenance of farm machinery[J]. Applied Soft Computing, 2019, 81: 105460.
[14] 辜勇, 袁源乙, 张列, 等. 带时间窗的多中心半开放式车辆路径问题[J]. 中国机械工程, 2020, 31(14): 1733-1740.
[14] GU Yong, YUAN Yuanyi, ZHANG Lie, et al. Multi-depot half open vehicle routing problem with time windows[J]. China Mechanical Engineering, 2020, 31(14): 1733-1740.
[15] WANG Y, ZHANG J, GUAN X, et al. Collaborative multiple centers fresh logistics distribution network optimization with resource sharing and temperature control constraints[J]. Expert Systems with Applications, 2021, 165: 113838.
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