Abstract

Taking cold-chain logistics as the research background and combining with the overall optimisation of logistics distribution networks, we develop two-stage distribution location-routing model with the minimum total cost as the objective function and varying vehicle capacity in different delivery stages. A hybrid genetic algorithm is designed based on coupling and collaboration of the two-stage routing and transfer stations. The validity and feasibility of the model and algorithm are verified by conducting a randomly generated test. The optimal solutions for different objective functions of two-stage distribution location-routing are compared and analysed. Results turn out that for different distribution objectives, different distribution schemes should be employed. Finally, we compare the two-stage distribution location-routing to single-stage vehicle routing problems. It is found that a two-stage distribution location-routing system is feasible and effective for the cold-chain logistics network, and can decrease distribution cost for cold-chain logistics enterprises.

Highlights

  • Many cities find it challenging to set up a high-efficiency city logistics system to increase freight efficiency and decrease the impacts of city distribution on city living conditions [1]

  • Genetic algorithm starts from the population of the problem solutions, so it is necessary to generate an initial population as the starting point of evolution

  • Different vehicle types were considered for the different distribution tasks

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Summary

Introduction

Many cities find it challenging to set up a high-efficiency city logistics system to increase freight efficiency and decrease the impacts of city distribution on city living conditions [1]. A city logistics model and some urban freight traffic policies have been studied by many researchers such as Taniguchi et al [3], Allen et al [4], Taniguchi et al [5], Anand et al [6], Danielis et al [7]. Allen et al [8] showed that the use of urban consolidation centers (UCC) is presumed to provide more efficient distribution in an urban area, and it can decrease energy use and environmental impact. One of the most efficient and typical ways to implement goods consolidation is to adopt multi-stage distribution systems, especially two-stage distribution system, where the delivery from distribution center to customers is managed by routing and consolidating the freight through intermediate depots called transfer stations [13]. The feasibility and validity of the model and algorithm are demonstrated through a test example, and results of the study are summarised

Literature Review
Problem Description
Problem Assumptions
Parameter and Variables
Model Development
Objective Function Analysis of Model
Model Setting
Algorithm Design
Algorithm Design distribution
Chromosome
Generate the Initial Population at Random
Crossover Operation
Mutation Operation
Decoding Chromosome
Selection Strategy Operation
Description of Experiment and Analysis of Experimental Result
Experimental Data and Parameter Values
Analysis of Experimental Result
Conclusions
Full Text
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