Models And Optimization Of Reverse Logistics Networks

Reverse logistics is developed with sustainable development and servings. With the increased environmental concerns and evident value of returns, plenty of enterprises started their reverse logistics career for gaining more profit. Reverse logistics network is the base and sticking point, economical and efficient network is the goal of most enterprises. Therefore, how to design an appropriate reverse logistics network has practical value on research.In the view of this, this paper design and optimize reverse logistics networks on certain and uncertain conditions. First, Chapter one and two put forward a new concept of reverse logistics, and plot out eight types of network. Second, Chapter there designs a network model with certain condition for enterprise with multi-product, multi-hierarchy and two flows of logistics, this model contains four hierarchies which is collection site, reprocessing centre, recycling centre, remanufacturing factory, and includes functions of remanufacturing and recycling, then optimize the model with Genetic Algorithms. Chapter four designs a network model with uncertain condition for open-loop network, contains two hierarchies of collection site and reprocessing centre, then optimize the model with mixed intelligent optimization composed by Genetic Algorithms, Monte Carlo simulation and linear programming. Both models give a case study, compare the result of traditional optimization and intelligent optimization, and analyze diversification on parameters. Finally, Chapter five sums up content and deficiency of paper.