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Supply Chain Scheduling Optimization in an Agricultural Socialized Service Platform Based on the Coordination Degree

Author

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  • Lingjingyuan Xu

    (School of Business, Renmin University of China, Beijing 100872, China)

  • Jianming Yao

    (School of Business, Renmin University of China, Beijing 100872, China)

Abstract

In order to create a sustainable agricultural production system and meet the multi-stage and differentiated production needs of farmers, this study proposes to build an agricultural service platform to dispatch agricultural service providers. Reasonably handling the collaborative relationship between farmers and service providers is a key issue in platform scheduling. Based on the analysis of the operation characteristics of the agricultural service platform, this study redefines the core issue of handling the collaborative relationship—the coordination degree—from the special characteristics of agricultural services, then analyzes it in depth and proposes a portrayal method. On this basis, a multi-stage and multi-objective scheduling optimization model, which integrally reflects the service utility and service combination operation efficiency, is constructed, and an improved genetic algorithm is proposed for solving it. Then, this study designs a numerical experiment which describes the multi-stage decision making of farmers, and the simulation results show that the optimization model can provide a balanced multi-objective supplier scheduling solution for them. Further, the validity and feasibility of the model and algorithm are verified through comparative tests of optimization effects and sensitive analysis. This study contributes to research on sustainable agriculture by modeling collaboration between smallholder farmers and agricultural service providers, and provides an effective decision-making tool for agricultural service platforms.

Suggested Citation

  • Lingjingyuan Xu & Jianming Yao, 2022. "Supply Chain Scheduling Optimization in an Agricultural Socialized Service Platform Based on the Coordination Degree," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16290-:d:995184
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    References listed on IDEAS

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    1. Jinwu Wang & Xiaobo Sun & Yanan Xu & Wenqi Zhou & Han Tang & Qi Wang, 2021. "Timeliness Harvesting Loss of Rice in Cold Region under Different Mechanical Harvesting Methods," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    2. Nalin Wu & Erling Li & Yihan Su & Li Li & Li Wang, 2022. "Social Capital, Crop Specialization and Rural Industry Development—Taking the Grape Industry in Ningling County of China as an Example," Land, MDPI, vol. 11(7), pages 1-22, July.
    3. Di Wang & Dong Jiang & Jingying Fu & Gang Lin & Jialun Zhang, 2020. "Comprehensive Assessment of Production–Living–Ecological Space Based on the Coupling Coordination Degree Model," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    4. Gilbert E. Mushi & Giovanna Di Marzo Serugendo & Pierre-Yves Burgi, 2022. "Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
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    Cited by:

    1. Jian Li & Xin Yan & Yongwu Li & Xuefan Dong, 2023. "Optimizing the Agricultural Supply Chain through E-Commerce: A Case Study of Tudouec in Inner Mongolia, China," IJERPH, MDPI, vol. 20(5), pages 1-19, February.

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