'Next-Day Delivery' timeliness and modelling and algorithm application of single-level warehouse network in supply chain

In the context of rapid development of intelligent supply chain and e-commerce, enterprises are facing the constantly upgrading demand of consumers for fast delivery. This article innovatively explores the optimisation of single-level warehouse network configuration, with a focus on improving the efficiency and reliability of 'next day delivery' services. Through system modelling and the application of improved algorithms, this paper constructs a new mixed integer linear programming model that combines complex simulated annealing genetic algorithm. This research not only maximises the timeliness of B2C electronic product delivery, achieving a delivery rate of over 70%, but also minimises logistics costs. Through the verification of case data provided by the first 'JD Logistics Cup' competition, the optimised layout of the supply chain single-level warehouse network obtained in this article significantly shortens the delivery time of orders and ensures the achievement of the goal of 'reducing costs and increasing efficiency' for enterprises.

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Publication Details

Journal
International Journal of Wireless and Mobile Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijwmc.2025.146639
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

'Next-Day Delivery' timeliness and modelling and algorithm application of single-level warehouse network in supply chain

Xiaoping Chen, Zixia Chen, T. Gu
International Journal of Wireless and Mobile Computing
Advanced Manufacturing and Logistics Optimization
article

'Next-Day Delivery' timeliness and modelling and algorithm application of single-level warehouse network in supply chain

Xiaoping Chen, Zixia Chen, T. Gu
article en

Abstract

In the context of rapid development of intelligent supply chain and e-commerce, enterprises are facing the constantly upgrading demand of consumers for fast delivery. This article innovatively explores the optimisation of single-level warehouse network configuration, with a focus on improving the efficiency and reliability of 'next day delivery' services. Through system modelling and the application of improved algorithms, this paper constructs a new mixed integer linear programming model that combines complex simulated annealing genetic algorithm. This research not only maximises the timeliness of B2C electronic product delivery, achieving a delivery rate of over 70%, but also minimises logistics costs. Through the verification of case data provided by the first 'JD Logistics Cup' competition, the optimised layout of the supply chain single-level warehouse network obtained in this article significantly shortens the delivery time of orders and ensures the achievement of the goal of 'reducing costs and increasing efficiency' for enterprises.

International Journal of Wireless and Mobile ComputingVol. 28(4)
Zhejiang DongFang Vocational and Technical College (CN), Shanghai Jian Qiao University (CN)
Openalex Percentile: Top 81%
Advanced Manufacturing and Logistics Optimization
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'Next-Day Delivery' timeliness and modelling and algorithm application of single-level warehouse network in supply chain — Xiaoping Chen, Zixia Chen, et al. · International Journal of Wireless and Mobile Computing (2025) | TGRS Research Map | TGRS