Abstract: Driven by growing environmental concern,legislative regulation and economic profitability,manufactures concern more and more about the physical design of the reverse logistic network,which is a problem belonging to a class of facility-location problems.This paper develops a capacitated location-allocation model with reverse logistics to find the location and capacity of return centers and distribution centers.Efficient GA is developed to solve the problem,compared with partly enumerated method.

Key words: reverse logistics, location-allocation problem, Genetic Algorithms