App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

Multi-distribution-center cold chain delivery route optimization considering fuzzy demand and time-dependent road networks

Sun Chenqi
Li Jianxun
Zhang Ruochen
Li Mingwan
Liu Siyu
School of Economics and Management, Xi'an University of Technology, Xi'an 710054, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0037

Abstract

To address the infeasibility of multi-depot cold-chain delivery plans caused by uncertain demand, time-varying road conditions, and insufficient vehicle load, this study developed a route optimization method under fuzzy demand and time-dependent road networks. The method constructed a cost-minimization model including cargo damage, refrigeration, fuel consumption, and time-window penalty costs. It represented customer demand with triangular fuzzy numbers, evaluated the reliability of the remaining vehicle load by credibility theory, and calculated travel time through piecewise time-dependent speed recursion. It further designed pre-service load verification, nearest-depot replenishment, and nearest-depot return rules, and developed an improved genetic algorithm embedded with stochastic simulation evaluation and adaptive large neighborhood search-based local intensification. The results show that the nearest-depot return rule reduces total cost by 6.06% and time-window penalty by 74.77% compared with returning to the original depot. The pre-service load verification and nearest-depot replenishment mechanism reduces shortage customers to zero and achieves a 100% complete service rate. The method improves cost control, time-window fulfillment, and service continuity in multi-depot cold-chain distribution under fuzzy demand and time-varying road conditions.

Foundation Support

教育部人文社会科学研究青年基金项目(25YJC630113)
陕西省教育厅一般专项科学研究计划项目人文专项(25JK0162)
陕西省哲学社会科学研究专项(2025HZ1457)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0037
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-08] Accepted Paper

Cite This Article

孙晨琪, 李建勋, 张若晨, 等. 考虑模糊需求和时变路网的多配送中心冷链配送路径优化 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0037. (Sun Chenqi, Li Jianxun, Zhang Ruochen, et al. Multi-distribution-center cold chain delivery route optimization considering fuzzy demand and time-dependent road networks [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0037. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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