Research On The Optimization Of Warehouse Allocation Mode Of The Third-party Platform For Community Group Purchase Of Fresh Food Under The Constraint Of Time Window

In recent years,with the rapid development of Internet industry in China,the Internet industry has gradually become an important part of national economy,whose development level may be a symbol of a country's overall strength.Throughout the development of the Internet industry,e-commerce is gradually integrating into our daily life,and online shopping has gradually become people's daily consumption habits.B-terminal e-commerce has gradually formed a new business wave since 2015,and the new retail and community group purchase are all derived from it.This thesis aims at a systematic study of the community group purchase fresh distribution mode under the time window.Firstly,by consulting a large number of literatures and visiting a number of community group-buying enterprises in Changsha,the starting place of community group-buying and currently the most active one,the author makes an actual investigation on the concept,classification and status quo of community group purchase,sorts out,analyzes and summarizes the data,and then concludes the main factors affecting the fresh distribution of community group purchase under the restriction of time window.To solve the location problem of community group purchase warehouse,this thesis introduces the trapezoidal fuzzy number to describe the criterion value of different warehouse alternatives,and uses the fuzzy analytic hierarchy process to obtain the priority weight of different criteria and solutions,so as to obtain the most satisfactory warehouse location solution.In order to solve the problem of path optimization of community group-buying logistics distribution center under the time window,this thesis establishes the distribution path model of nonlinear mixed 0-1 planning type.This type takes the time window constraint,total distribution cost,fixed investment cost and processing cost minimum as the basic objectives.On the basis of considering various constraints and combining with specific examples,the model is solved by genetic algorithm.The calculation results verify the feasibility and effectiveness of solving the model by genetic algorithm.This study is not only helpful to expand the theoretical depth of community group purchase in B-terminal e-commerce,but also to further explore the practical operation ideas of community group purchase warehouse allocation mode,so as to provide theoretical basis and practical guidance for many community group purchase enterprises.