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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!... show more
Abstract
A new omni-channel retailing mode—prepositioned warehouses—rapidly developed in China during COVID-19, is introduced together with a three-level logistics network optimisation model for agricultural products. The study captures omni-channel characteristics that combine vehicle delivery and consumer in-store purchase, incorporates a freshness penalty incurred during storage of fresh agricultural products, and builds a mathematical optimisation model for the three-stage logistics network based on the classical EOQ inventory model. The optimisation objectives are the shortest delivery time and the smallest total cost; the multi-objective problem is transformed into a single objective via normalisation and linear weighting, yielding a mixed-integer optimisation model. The paper addresses site selection for prepositioned warehouses, merchandise replenishment strategies, and optimisation of delivery routes using real-case data, and derives managerial insights through sensitivity analysis.
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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