Research On Continuous Location-Path Planning Of Multi-distribution Centers For Fresh Agricultural Products

In recent years,China's social and economic development has been in good shape,and people's quality of life and consumption have increased steadily.Fresh produce have become an important source of nutrient intake for the people,and their quality and safety have received wide attention from all walks of life.The demand for fresh produce is large,but the characteristics of freshness also cause difficulties in storage and transportation.Therefore,it is particularly important to study the location and route planning of distribution centers as the key technologies of fresh produce logistics.Firstly,research on the continuous location problem of fresh produce multi-distribution centers is an important issue.For solving this problem,the initial solution is usually generated by random way of the previous algorithms,but this will cause the search range to be too large and easy to fall into local optimum,thus a new algorithm for solving continuous location problem of multi-distribution centers is proposed innovatively.Firstly,a continuous multi-distribution centers location model with minimum distance constraints is established.Then,a fuzzy c means clustering-improved simulated annealing algorithm is designed.Finally,taking Hangzhou as example,verify the model and algorithm.Secondly,based on the solution of the continuous location model of the multi-distribution centers of fresh produce,the paper divides the problem of the subsequent distribution centers vehicle route into the route planning problem of the second-level distribution center and the first-level and second-level distribution center.Path planning problem,and establish a multi-target vehicle path model 1 and vehicle path model 2 with the least number of vehicles in the transportation process of fresh produce and the minimum comprehensive cost during transportation.Considering that the traditional simulated annealing algorithm is good at local search and the global search ability is lacking,the paper designs a multi-objective improved simulated annealing algorithm based on the traditional simulated annealing algorithm,also takes Hangzhou as example.The multi-objective programming model and algorithm are verified by examples.Finally,the paper summarizes the problem of continuous location-path planning for multi-distribution centers of fresh produce,and proposes future research directions.