摘要
This paper develops an inventory control model for a reverse supply chain with separate serviceable and remanufacturable inventory stock points. Return rate is expressed stochastically as a function of product demand. Variation in demand distribution during product life-cycle is modeled using a new order-up-to replenishment policy incorporating five maximum inventory levels corresponding to five product life cycle stages. A near optimum solution to this problem is sought using a hybrid solution method integrating a discrete event simulation with a meta-heuristic search method. Real data from an Australian case company is utilized to design test experiments for model validation and evaluation.
- 出版日期2014-7