Abstract

Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of cold-chain logistics network and tackles it with genetic algorithms. This optimal model takes running total cost of logistics network as the objective, and embeds a nonlinear mixed integer programming including two assignment issues. The model determines optimal layout and logistics management for pre-cooling stations and logistics center for fresh agricultural products. Our main contribution is to consider construction cost and operation cost of cold chain logistics simultaneously. Case study illustrates the effectiveness of the model.

Highlights

  • Guangdong has various characteristic fruits, such as lychee, banana, strawberry, dragon fruit, longan, etc., and its output of fruit is huge

  • Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge

  • In view of different fresh agricultural products are not identical to the requirement of storage and transportation environment, so for a specific category, this paper studies and constructs the logistics network of fresh agricultural products of this category, that is, to determine the transportation network between the origin, pre-cooling station and fresh distribution center

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Summary

Introduction

Guangdong has various characteristic fruits, such as lychee, banana, strawberry, dragon fruit, longan, etc., and its output of fruit is huge. Xie and Zhao [3] studied the joint distribution model of cold chain logistics based on cloud logistics. Li and Wu [5] proposed a novel location inventory routing (LIR) model to solve cold chain logistics network problem under uncertain demand environment. They introduced a multi-objective genetic algorithm (GA), non-dominated sorting in genetic algorithm II (NSGA-II) to solve the model due to the complex of LIR problem (LIRP). With the other research, we study the double layer structure of cold chain logistics network, that is, layer one is from places of origins to pre-cooling station while layer two is from pre-cooling station to distribution centers

Problem Description
Model Hypothesis
Modeling of Cold Chain Logistics Network
Evolutionary Process of Genetic Algorithms
Operational Steps of Genetic Algorithms
Examples
Conclusion

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