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

Authors: Xiaoping Chen; Zixia Chen; Tingquan Gu

Addresses: Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, Zhejiang, China ' Shanghai Zhongqiao Vocational and Technical University, Jinshan District, Shanghai, China ' Shanghai Zhongqiao Vocational and Technical University, Jinshan District, Shanghai, China

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.

Keywords: single-level warehouse network optimisation; RSC location selection; 'next-day delivery' service; simulated annealing algorithm.

DOI: 10.1504/IJWMC.2025.146639

International Journal of Wireless and Mobile Computing, 2025 Vol.28 No.4, pp.370 - 377

Received: 29 Sep 2024
Accepted: 09 Dec 2024
Published online: 10 Jun 2025 *

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