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Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

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  • Ziyu Shan

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

  • Jianming Yao

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

Abstract

In the context of an evolving socio-economic landscape and rising living standards, the online market for fresh products, encompassing fruits, vegetables, meats, dairy, and eggs, has seen substantial growth, necessitating sophisticated logistics for e-commerce home delivery. This study tackles the distinct challenges of fresh product delivery, which demand rigorous adherence to climate conditions and product mix during transport, significantly influencing the operational strategies and scheduling of delivery platforms. To address these challenges, a comprehensive mathematical model was developed to optimize fresh food home delivery scheduling, focusing on reducing spoilage rates and accommodating the dynamic impact of environmental temperature changes. The model posits assumptions of a consistent and ample supply of fresh goods, standard initial quality loss, and efficient porter assignment for multi-category order combinations. It introduces three objective functions, targeting the minimization of fresh food loss, maximization of customer satisfaction, and reduction of distributor costs. The efficacy of the model and its genetic-algorithm-based solution method was assessed through numerical analysis and case studies, illustrating that the model enhances delivery efficiency and service quality across varying temperature conditions. This substantiates the critical role of environmental temperature management in optimizing fresh food delivery, offering a robust framework for advancing logistical operations in the perishable goods sector and ensuring quality and efficiency in fresh food e-commerce delivery.

Suggested Citation

  • Ziyu Shan & Jianming Yao, 2024. "Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations," Sustainability, MDPI, vol. 16(9), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3624-:d:1383362
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    References listed on IDEAS

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    1. Vladimir Todorovic & Marinko Maslaric & Sanja Bojic & Maja Jokic & Dejan Mircetic & Svetlana Nikolicic, 2018. "Solutions for More Sustainable Distribution in the Short Food Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-27, September.
    2. Hirschberg, J.G. & Lye, J.N. & Slottje, D.J., 2008. "Inferential methods for elasticity estimates," Journal of Econometrics, Elsevier, vol. 147(2), pages 299-315, December.
    3. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    4. Mozhu Wang & Jianming Yao, 2023. "Intertwined supply network design under facility and transportation disruption from the viability perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2513-2543, April.
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