Abstract
This paper explores a more applicable distribution scheme to reduce the distribution cost from the perspective of various influencing factors in the distribution process. We comprehensively considers the effect of temperature changes on the decay rate of fresh products during unloading, the carbon emission costs during transportation and cold storage, customer satisfaction, as well as the traffic situation of the actual distribution route. On this basis, a distribution cost model is constructed. And the improved genetic algorithm is used to solve the problem. In addition, we also conducted sensitivity analysis on different customer demands, so as to put forward some management enlightenment to business managers. An analytical investigation of a case study in Harbin indicates that reasonable transportation path planning can effectively reduce the total distribution cost. Hence, the proposed distribution scheme can serve as an effective and socially feasible method in cold chain logistics management to reduce logistics costs.
Highlights
With the increasing scale of cold chain logistics, the problem of cold chain logistics distribution has become increasingly serious
The “Report on the Development of Cold Chain Logistics for Agricultural Products” in 2018 showed that by the end of 2017, the warehousing area of cold chain logistics in China had increased by 13.7% to 119.37 billion cubic meters, and the number of refrigerated vehicles increased by 16.5% year-over-year to 134,000 [1]
We found that low carbon and customer satisfaction has gradually become the highest goal of cold chain logistics management
Summary
With the increasing scale of cold chain logistics, the problem of cold chain logistics distribution has become increasingly serious. This paper comprehensively considers the effect of temperature changes on the decay rate of fresh products during unloading, the carbon emission costs during transportation and cold storage, customer satisfaction, as well as the traffic situation of the actual distribution route. On this basis, a distribution cost model is constructed. Based on the findings of the above studies, in many distribution cost model studies, the traffic situation of the actual distribution route and the influence of the change of temperature on the decay rate of fresh products during unloading is not considered by many people. The sensitivity analysis of the changes of the parameters on model should be considered to understand the impact of the changes to the objective functions
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