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Optimisation of a multilevel logistics network for prepositioned warehouses under an omni-channel retail model

Author

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  • Chenxing Li

    (Beijing Jiaotong University)

  • Xianliang Shi

    (Beijing Jiaotong University)

Abstract

A new omni-channel retailing mode, prepositioned warehouses, which developed rapidly in China during the COVID-19 pandemic, was introduced, and a three-level logistics network optimisation model for agricultural products was presented. This study takes into account the characteristics of the omni-channel retail model, which combines the two delivery methods of vehicle delivery and consumer in-store purchase, adds the freshness penalty incurred by fresh agricultural products in the storage process of the prepositioned warehouse, and establishes a mathematical optimisation model of the three-stage logistics network of the prepositioned warehouse that meets the characteristics of omni-channel retailing on the basis of the classical EOQ inventory model. In this work, the shortest delivery time and the smallest total cost are set as the optimisation objectives, and the multi-objective problem is transformed into a single objective through normalisation and linear weighting methods to obtain a mixed-integer optimisation model. This paper solves the problems of site selection for prepositioned warehouses, merchandise replenishment strategies, and optimisation of delivery routes based on data from real cases. Additionally, through sensitivity analysis, the management inspiration of the enterprise is obtained.

Suggested Citation

  • Chenxing Li & Xianliang Shi, 2024. "Optimisation of a multilevel logistics network for prepositioned warehouses under an omni-channel retail model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03496-2
    DOI: 10.1057/s41599-024-03496-2
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    References listed on IDEAS

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    1. Yue Liu & Guang Song, 2024. "Factors Affecting Supply Chain Integration in Omni-Channel Retailing," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
    2. Guerrero, W.J. & Prodhon, C. & Velasco, N. & Amaya, C.A., 2013. "Hybrid heuristic for the inventory location-routing problem with deterministic demand," International Journal of Production Economics, Elsevier, vol. 146(1), pages 359-370.
    3. Salhi, Said & Rand, Graham K., 1989. "The effect of ignoring routes when locating depots," European Journal of Operational Research, Elsevier, vol. 39(2), pages 150-156, March.
    4. Fujiwara, Okitsugu & Perera, U. L. J. S. R., 1993. "EOQ models for continuously deteriorating products using linear and exponential penalty costs," European Journal of Operational Research, Elsevier, vol. 70(1), pages 104-114, October.
    5. Yingying Zhang & Yi Chai & Le Ma, 2021. "Research on Multi-Echelon Inventory Optimization for Fresh Products in Supply Chains," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    6. Maria Giuffrida & Riccardo Mangiaracina & Giovanni Miragliotta & Sara Perotti & Angela Tumino, 2019. "Modelling the environmental impact of omni-channel purchasing in the apparel industry: the role of logistics," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 34(4), pages 431-456.
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