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

Business

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

C. Li and X. Shi

This groundbreaking study explores a new omni-channel retailing model that emerged during the COVID-19 pandemic in China, focusing on agricultural products. The research, conducted by Chenxing Li and Xianliang Shi, presents a logistics optimization model that minimizes costs and delivery times while ensuring freshness for perishable goods. Don't miss the insights gained from real-world data in Beijing's Haidian District!

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Playback language: English
Abstract
This study introduces a new omni-channel retailing mode using prepositioned warehouses, which rapidly developed in China during the COVID-19 pandemic. A three-level logistics network optimization model for agricultural products is presented, considering vehicle delivery and in-store purchases. The model incorporates freshness penalties for perishable goods and uses a mixed-integer optimization approach to minimize total cost and delivery time. Real-world data from Beijing's Haidian District are used to solve the model, and sensitivity analysis provides managerial insights.
Publisher
Humanities and Social Sciences Communications
Published On
Jul 27, 2024
Authors
Chenxing Li, Xianliang Shi
Tags
omni-channel retailing
logistics network optimization
agricultural products
freshness penalties
mixed-integer optimization
COVID-19
sensitivity analysis
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