Study On Network Planning Of WEEE Reverse Logistics

Due to legislative requirements, environmental concerns, and market image, the disposition of end-of-life e-scrap is attracting tremendous attention in many parts of the world today. Effective management of returned used product flows can have a great impact on the profitability and resulting financial viability of associated e-scrap reverse production systems. At the same time, as economic of our country is being developed, the home appliance product consumption is increasing gradually. The WEEE is seriously increasing correspondingly, and rises to a high level. However, since long ago WEEE has been scattered recycling, twice uses and decompose in old method, which is not only in low efficiency without scale, but also brings out heavy burden of environment. However, designing efficient Waste home appliances reverse production systems is greatly complicated by the high degree of uncertainty surrounding several key factors.Very few examples of this complex design problem are documented in the academic literature. This paper contributes the detailed and complex analysis of a new, large scale application that designs an infrastructure to process used televisions, washing machines, fridge and home air-conditioning in the state of Fujian province in china. The case study employs a scenario-based robust optimization model for supporting strategic waster appliances reverse production infrastructure design decisions under uncertainty. A mixed integer linear programming (MILP) model is used to minimize the system cost for specified deterministic parameter values in each scenario, and then a min-max robust optimization methodology finds a robust solution for all of the scenarios. The resulting solutions suggest that an economically viable electronics recycling infrastructure is possible, a fundamental requirement for the future of waster appliances collection and processing in Fujian province.