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IISE Transactions Volume 54, 2022 - Issue 9
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Data Science, Quality & Reliability

Service-oriented global optimization integrating maintenance grouping and technician routing for multi-location multi-unit production systems

Guojin SiState Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, SJTU-Fraunhofer Center, Shanghai, ChinaView further author information
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Tangbin XiaState Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, SJTU-Fraunhofer Center, Shanghai, ChinaCorrespondence[email protected]
View further author information
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Ershun PanState Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, SJTU-Fraunhofer Center, Shanghai, ChinaView further author information
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Lifeng XiState Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, SJTU-Fraunhofer Center, Shanghai, ChinaView further author information
Pages 894-907 | Received 08 Aug 2020, Accepted 05 Jul 2021, Published online: 07 Sep 2021

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Bingxin Miao, Qianwang Deng, Like Zhang, Zhangwen Huo & Weifeng Han. (2023) Joint scheduling of spare parts production and service engineers based on progressive Pareto algorithm. International Journal of Production Research 0:0, pages 1-18.
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Hamed Allaham & Doraid Dalalah. (2022) Optimization of maintenance tasks of spatially distributed assets with non-preemptive overtime. International Journal of Management Science and Engineering Management 17:4, pages 279-294.
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Articles from other publishers (1)

Bingxin Miao, Qianwang Deng, Like Zhang, Zhangwen Huo & Xiaoyan Liu. (2022) Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand. Journal of Manufacturing Systems 64, pages 261-274.
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