Multi-Objective Low Carbon Vehicle Routing for Cold Chain Distribution with Customer Time Loss Aversion  

作　　者：Xiufeng LI Zhen ZHANG 

机构地区：[1]College of Management and Economics,Tianjin University,Tianjin 300072,China [2]Hongling Supply Chain(Zhejiang)Co.,Ltd.,Hangzhou 311100,China

出　　处：《Journal of Systems Science and Information》2024年第5期590-623,共34页系统科学与信息学报（英文）

基　　金：Supported by Tianjin Research Innovation Project for Postgraduate Students(2022BKY110)。

摘　　要：The elevated refrigeration expenses linked to cold chain distribution contribute to increased overall logistics costs and carbon emissions.Concurrently,the sensitivity of consumers to delivery delays also impacts the design of cold chain distribution operations.This paper considers the logistics costs of cold chain,consumer time loss aversion,and the efficiency of low-carbon distribution to construct a multi-objective cold chain vehicle routing problem.It combines a decomposition-based multi-objective solution algorithm and fruit fly optimization algorithm to solve the proposed model,and validates the algorithm and model through a large number of numerical experiments.Firstly,our computations of the C-metric,IGD value,Hypervolumn,and CPU time demonstrate that the algorithm employed in this study has yielded notable advantages in terms of convergence and the overall performance of the non-dominated solutions.Secondly,we find that increasing logistics satisfaction requires a significant investment in logistics costs,thus requiring a delicate balance between logistics expenditure and service advantages.Finally,we used a typical example to analyze the size of different cost modules in cold chain distribution and find that vehicles can optimize their routes without needing to make extensive diversions to reach distant customers,ultimately leading to reduced fuel consumption and carbon emissions.Besides,the traditional assumption that a higher utilization of logistics vehicles results in increased carbon emissions and fuel usage is not universally valid.Our research contributes to the current balance between cold chain costs and consumer satisfaction in cold chain distribution.Additionally,leveraging multi-objective algorithm design,we provide feasible solutions for current cold chain delivery operations.Further,by incorporating consumer time loss aversion model,we aid in understanding the impact of consumer behavior on the design of cold chain delivery solutions.

关 键 词：MULTI-OBJECTIVE low carbon vehicle routing cold chain distribution customer time loss aversion 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F252[自动化与计算机技术—控制科学与工程]