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A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time

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  • Liu, Weihua
  • Wang, Qian
  • Mao, Qiaomei
  • Wang, Shuqing
  • Zhu, Donglei

Abstract

Building on previous research, this paper establishes a new multi-objective program scheduling model of Logistics service supply chain that considers the uncertainty of operation time for functional logistics service providers (FLSPs) in a mass customization service environment. This model aims to minimize total scheduling costs, minimize the difference between the scheduled and actual time of each service process, and maximize the average satisfaction of FLSPs. Considering the differences in target priority, the goal programming method is applied to solve the model hierarchically. In addition, the effects of scheduling parameters on scheduling objectives are provided after numerical analysis.

Suggested Citation

  • Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
    • Handle: RePEc:eee:transe:v:83:y:2015:i:c:p:189-215
    DOI: 10.1016/j.tre.2015.09.003
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    Cited by:

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    2. Xing Chen & Eunmi Jang, 2022. "A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    3. Liu, Xiaotong & Zhang, Kai & Chen, Bokui & Zhou, Jun & Miao, Lixin, 2018. "Analysis of logistics service supply chain for the One Belt and One Road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 23-39.
    4. Li, Guo & Li, Lin & Sun, Jiasen, 2019. "Pricing and service effort strategy in a dual-channel supply chain with showrooming effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 32-48.
    5. Hao Liu & Haodong Chen & Hengyi Zhang & Haibin Liu & Xingwang Yu & Shiqing Zhang, 2022. "Contract Design of Logistics Service Supply Chain Based on Smart Transformation," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    6. Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.
    7. Hu, Xiaojian & Wang, Guanxiong & Li, Xiaozheng & Zhang, Yue & Feng, Shuai & Yang, Aifeng, 2018. "Joint decision model of supplier selection and order allocation for the mass customization of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 76-95.
    8. Qiang Wei & Xinyu Gou & Baiyang Zhang, 2024. "Urban Sharing Logistics Strategies against Epidemic Outbreaks: Its Feasibility and Sustainability," Sustainability, MDPI, vol. 16(17), pages 1-29, September.

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