A model for admission control of returned products in a remanufacturing facility using queuing theory

This paper deals with decision making in a remanufacturing facility where returned products arrive according to a Poisson process. Arrivals have different routings among the facility stations since they have different defects and need different operations. A returned product is either accepted for remanufacturing or sold at a salvage value without working on it in order to reduce congestion. The authors provide an analytical model using a queuing network theory to obtain the best policy for accepting returned products. Furthermore, a continuous genetic algorithm is implemented to solve the model, which happens to be a mixed integer nonlinear programming problem. Several examples are solved by the implemented genetic algorithm and the results are evaluated.

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