Collaborative Distribution Road Optimization Based On Customer Satisfaction

Normal distribution usually ignores the collaboration of the distribution center toundertake the distribution task and risk, so that appears the phenomenon of the waste ofresources and low utilization rate in the logistics distribution. Collaborative distributioncan improve the logistics resources’ efficiency maximumly, such as the personnel,material, money, time, etc; To improve the response speed of the logistics distributionand the level of logistics service to achieve the social benefits; Meanwhile furthest, thisdistribution style can also reduce the logistics facilities, to realize the reasonable layoutof logistics facilities and social benefits of easing traffic congestion, environmentalprotection and so on. So studying the routing problem of collaborative distribution has agreat significance to improving the efficiency of distribution and reducing distributioncosts.This paper first discusses the research background and research significance, thenanalysis of research status both at home and abroad and expounds the theory ofcollaborative distribution and customer satisfaction; Secondly, establishes the optimiza-tion model of logistics distribution path together based on customer satisfaction on theanalysis of the classical path optimization mathematical model and the process forcustomer satisfaction, meanwhile considering the particularity and effectiveness of thecollaborative distribution and the influence of customer satisfaction for distribution tochoose; Thirdly, summarizes the advantages and disadvantages of genetic algorithm andant colony algorithm, and gives the design idea and basic steps of the genetic ant colonyalgorithm; Finally, expounds the algorithm design of the path optimization, and take acase study for example to validate the feasibility and effectiveness of the model.