Logistics Network Layout And Related Problems Researching For WEEE Green Recycling

Since eighth and ninth decade of last century, electronic and electrical products won agreat volume of sales in our country, then gradually become the market leading products.After decades of development, China’s electronic and electrical industry formed a completeindustrial chain and related industrial system that still maintaining the sustainability andhealthy growth of Chinese economy. At the same time, In the face of a plenty of WEEE todeal with, To strengthen the wasted electrical and electronic equipment (WEEE) recoverymanagement has become an urgent social problem. However, there are following problemsstill exists:①The decision-makers are hesitated about whether they selecting independentor third party recovery mode owing to no clear acknowledge;②Effective recoverydepends on appropriate logistics network, there are few theoretical guidance for logisticsnetwork layout;③Most producers were lack of power to participate in the WEEErecovery action, and no more learn the development direction and yield prospects aboutrecycling industry chain. Therefore, this article focuses on the following problems:(1) Taking detail analysis of the advantages and disadvantages about autonomicrecovery and third-party recycling mode, learning the current development trend; then,Putting forward to make use of the combined methods both Constriant-FAHP andFuzzy-VIKOR for WEEE recycling logistics suppliers evaluation. Firstly, Taking Constraintand Extent analysis into consideration, The Constriant-FAHP is utilized to calculate theweights of evaluation indexes; Subsequently, The suppliers ranking is finished withFuzzy-VIKOR, Based on the largest group utility and minimum individual regret value thata compromise case can be selected; Finally, Illustrative numerical example is provided todemonstrate the feasibility of proposed approaches.(2) When constructing a third-party logistics recycling network in order to meet costminimization or profit maximization: Firstly, For appropriating to practical demand, weconsidering the model parameters are comprised with determined、stochastic and fuzzy type;Subsequently, A new method of combining stochastic chance constrained programming andfuzzy chance constrained model (called uncertain programming) is utilized to construct themodel; Then, Taking a hypothesis that all parameters are independent with others, We tryingto convert uncertain programming into determined mathematical programming model bytaking relevant transformation theorem into consideration; Finally, the model is solved byLINGO software that can get the optimal network structure.(3) Taking advantage of system dynamics (SD) method to analyze logistics supplychain development prospects: The electronic and electrical products sales/remanufacturingsupply chains were constructed and Simulated with the aid of VENSIM software, and onwhich we can tracking the supply chain benefit varies by the influence of six parameters includes products quality、 supply chain reaction speed、 GDP growth rate、inventoryadjustment time、handling capacity expansion strategy and environmental policy index;Finally, On review of the existing problems and balancing their relation between economicgrowth with environmental protection, A series of effective coping strategies is given forpractical application in the future.