Research On Recycling Strategy Optimization Problem In Closed-Loop Supply Chains

With the consciousness of sustainable development and environment protection, Closed-loop supply chains (CLSCs) management has recently aroused a great of interest from academia and enterprises. By reusing the waste products, on one hand, CLSCs management could bring benefits and reduce costs to enterprises, on the other hand, it also saves natural resources and protects environment. Therefore, CLSCs management has become the main management mode of modern enterprises. Recycling strategy optimization, as an important and complicated part in the CLSCs management, plays a key role in the operational performance of a CLSC. For this, extensive analysis and discussions on the recycling strategy optimization problem in CLSCs are with huge value in theory and practices.Based on the extensive reading on recycling strategy optimization problems in CLSCs, this dissertation first reviews the topic from the following four aspects:capacity allocation, pricing problem in CLSCs, channel selection in CLSCs and vertical control structure selection in CLSCs, and then conducts research on each of them as follows:(1) The distributed supply capacity allocation of supply chains with private information in fuzzy environment is investigated. A single manufacturing facility with limited capacity is shared by multiple retail departments of distributed enterprises in each production period, and the benefit of unit product of retail departments together with the production capability at each time interval is private, and the demand information is both private and fuzzy. First, based on the mathematical decomposition method, fuzzy programming models for retail departments and the facility are built, respectively. Then, two measures (possibility and credibility) from fuzzy theory are leveraged to clarify the proposed fuzzy models. Further, we adopt the Lagrangian-relaxation technique and the Taylor series expansion method to design negotiation parameters, and propose a sub gradient-based method for updating negotiation parameters. All of the above efforts constitute the final solution method to the distributed supply capacity allocation of supply chains with private information in fuzzy environment. Finally, extensive random experiment results demonstrate the efficiency of the proposed models and negotiation methods.(2) Pricing strategies of CLSCs with single recycling channel in fuzzy environment is investigated. Two contexts are considered:one assumes that the retailer is responsible for recycling and the demand is fuzzy; the other assumes that the third party is responsible for recycling and the production cost, the remanufacturing cost, the demand and the amount of collected used-products are fuzzy. First, based on game theory, fuzzy programming models of CLSCs for both the decentralized and the centralized channel scenarios are built. Then, the backward induction method together with game theory is used to solve the proposed models and the corresponding optimal pricing strategies are thus achieved. Finally, reasonable economic explanations are given for the achieved results.(3) Recycling channel selection strategies of CLSCs with dual recycling channel, within which the retailer and the third party compete to collect used products, are investigated. First, based on game theory, optimization models of CLSCs for both the decentralized and the centralized channel scenarios are built. After that, the backward induction method is used to solve the proposed models and the corresponding optimal pricing and recycling strategies are consequently achieved. Then, by comparing this work with the existing optimal strategies of the CLSC with single recycling channel, we obtain the optimal recycling channel selection strategy of CLSCs. Finally, effects of selected strategies in CLSCs on consumers, environment and the making of macro-control policies are analyzed, respectively.(4) Selection strategies of the vertical control structure for two competing CLSCs are investigated. The existence of competition between two CLSCs, each of which consists of one manufacturer, one retailer and the third party, is considered. Suppose each CLSC has two vertical control structures, i.e., the centralized vertical control structure and the decentralized vertical control structure. First, based on game theory, optimization models of CLSCs for different vertical control structures are built. After that, the backward induction method is employed to derive the optimal recycling and pricing strategies of CLSC for each vertical control structure. Then, by comparing strategies for different vertical control structures, we obtain the optimal vertical control structure selection strategy of CLSCs. Finally, effects of selected strategies in CLSCs on consumers, environment and the making of macro-control policies are analyzed, respectively.