Research On Collaborative Optimization Of Automotive Supply Chain Logistics Planning In Uncertain Environment

With the development of economic globalization,enterprise management mode begins to change from vertical integration to horizontal integration.Competitions between supply chains have replaced the competition between companies.Automobile industry has been one of the five pillar industries to national economic development.At present,price competition is the main vocal of game in mobile markets.In order to enhance the market profit,all auto manufacturing enterprises is exploring the pattern to reduce the cost of production.So combined with the market situation and development trend of auto industry in our country,there is very important applicable significance to study supply chain logistics collaborative optimization theory in depth and build coordination model and optimization strategy of automobile supply chain logistics plan.Automotive supply chain is a dynamic open system and will be changed over time.Actually,supply chain is changing over time not only in market demand and supply delivery ability but also in the relationship between node enterprises in chain.These uncertain environmental factors need logistics of automobile supply chain to be more informational in management and more effective in operation.As a result,it will be very important to manage and control these uncertain factors,formulating effective supply chain management plan of procurement,production,inventory and transportation.This article aims to study the optimization problem of automotive supply chain logistics collaboration in uncertain environment.In other words,this article considered uncertain condition,sorted out the motivation of automotive supply chain collaboration,excavated organic connection between the relevant factors in supply chain logistics system,arranged every node enterprise's procurement batch,production batch,inventory batch and transportation batch of raw materials,parts and the whole car,built collaborative optimization model of automobile supply chain logistics plan and designed hybrid intelligent algorithm with the combination of stochastic simulation and genetic algorithm to solve the problem.In the meantime,the paper set H automotive enterprise as a numerical example for the study to verify the validity of the optimization model and intelligent algorithms based on its business network and output product.At the end of the paper,it summarizes the achievements and points out the limited of study.Then,this paper prospects the further research work.