Multi-Objective Route Optimization for Long-Distance Cold Chain Transportation Considering Time Window

Congmiao Fang (), Xiaoyan Gu, Shuangshuang Cheng () and Dengsheng Wu ()
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Congmiao Fang: College of Management Science and Engineering, Beijing Information Science and Technology University, P. R. China
Xiaoyan Gu: College of Management Science and Engineering, Beijing Information Science and Technology University, P. R. China
Shuangshuang Cheng: College of Management Science and Engineering, Beijing Information Science and Technology University, P. R. China
Dengsheng Wu: College of Management Science and Engineering, Beijing Information Science and Technology University, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 03, 865-889

Abstract: In the long-distance cold chain transportation from production to distribution, besides the high transportation cost, the product spoilage and carbon emission from refrigerant and fuel usage during transportation also merit attention. At the same time, the time window for transportation indirectly affects customer satisfaction, so this paper shows how to develop a suitable transportation route with multiple optimization objectives mentioned above. First, the optimization objectives of long-distance cold chain transport are specified as transport cost, product spoilage and carbon emission, and the time window of delivery is taken into account to establish a multi-objective optimization model. Second, an improved ant colony algorithm is employed to resolve the Pareto optimal solution of the model. Finally, the effectiveness of the model is confirmed by a calculation example and compared with other methods.

Keywords: Long-distance cold chain logistics; multi-objective optimization; time window; ant colony algorithm (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0219622025410032

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