The Research On The Reverse Logistics Network Of Waste Electronic Battery Based On Uncertain Environment

Nowdays, more and more hazy weather appears in many cities in China, in themeantime, as the critical factors which caused the air pollution, the automobile exhaustattracted the public criticism and concerns. Based on this, electric cars with newenergy environmental advantages, have a gradually future in the market. Theseadvantages should contribute to the battery,which makes the replacement of oil as thecar energy.However, in our country, whether government agencies, or some of theenvironmental protection organization or folk, battery recycling problem has alwaysbeen a problem. Therefore, When the electric cars really replace gas oil vehicles andbecome the mainstream of the market, what should we do to recovery scrapped batteryof electric cars?Aiming at solving this problem, based on the support of existing research and reverselogistics of waste batteries of electric cars, it can be transformed into two parts:theconstruction of EV scrapped battery reverse logistics network and the optimizationdesign problem of reverse logistics network in battery product enterprises underuncertain environment.First of all, according to a large amount of document summarizing reviews andanalyzes the the domestic and abroad research status about the recycling of usedbatteries of electric cars, reverse logistics network design problem, the paper points outthe deficiency existing in current researches,and the direction of the future research.Secondly, based on discussing the characteristics of electric vehicle battery, it has asummary of characteristics in the electric vehicle recycling process and the value of thereverse logistics network. After a detailed analysis of the process and theoperation flow,it designs the operation mode and network based framework. After allthe pre-works, the forward/reverse logistics integrated network structure of electricvehicle scrapped battery is built.Finally, in order to minimize the logistics costs and improve efficiency of theoperation, the dynamic optimization model using the uncertain planning method isestablished based on the formal forward/reverse logistics integrated network. Themodel help the enterprises to find a good solution to determine the location in thenetwork, the path and the reasonable logistics quantity of each facility. The characteristicof the model is:1.the recovery of products according to the quality grade is dividedinto two class,one is paid recovery, the other is free recovery;2. considering capacityconstraints of every node in the network;3.treating the product demand of consumermarket as the random parameters,and the volume of paid/unpaid two recovery wastebatteries as fuzzy parameters;4. considering the change of logistics planning in differentplanning period in the model. In order to solve the model, the thesis transform the model into the certain situation, and puts forward ideas of the multi-state. Besides, thegenetic algorithm program is designed to solve the problem by using the matlab7.0. Through a numerical analysis of network dynamic optimization model forsolving cases, it proves the validity and rationality of the optimization model.