Dynamic Pricing and Production Control of an Inventory System with Remanufacturing

We consider optimal pricing and manufacturing control of a continuous-review inventory system with remanufacturing. Customer demand and product return follow independent Poisson processes. Customer demand is filled by serviceable product, which can be either manufactured or remanufactured from the returned product. The lead times for both manufacturing and remanufacturing are exponentially distributed. The objective is to maximize the expected total discounted profit over an infinite planning horizon. We characterize the structural properties of the optimal policy through the optimality equation. Specifically, the optimal manufacturing policy is a base-stock policy with the base-stock level nonincreasing in the return inventory level. The optimal pricing policy is also a threshold policy, where the threshold level is nonincreasing in the return inventory level.

[1]  Mark P. Van Oyen,et al.  Production , Manufacturing and Logistics Joint control of production , remanufacturing , and disposal activities in a hybrid manufacturing – remanufacturing system , 2013 .

[2]  D. C. Whybark,et al.  From garbage to goods: Successful remanufacturing systems and skills , 2000 .

[3]  Jing-Sheng Song,et al.  Managing an Assemble-to-Order System with Returns , 2009, Manuf. Serv. Oper. Manag..

[4]  Gregory A. DeCroix Optimal Policy for a Multiechelon Inventory System with Remanufacturing , 2006, Oper. Res..

[5]  Vincent P. Simpson Optimum Solution Structure for a Repairable Inventory Problem , 1978, Oper. Res..

[6]  E. A. van deLaan,et al.  Production planning and inventory control with remanufacturing and disposal , 1997 .

[7]  V. Guide Production planning and control for remanufacturing: industry practice and research needs , 2000 .

[8]  T. Speh,et al.  Remarketing: Commercialization of Remanufacturing Technology , 1991 .

[9]  John A. Muckstadt,et al.  An analysis of single item inventory systems with returns , 1981 .

[10]  Ricky Y. K. Chan An emerging green market in China: Myth or reality? , 2000 .

[11]  Xiuli Chao,et al.  Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products , 2011, Manuf. Serv. Oper. Manag..

[12]  Paul H. Zipkin,et al.  Inventory Management for an Assembly System with Product or Component Returns , 2005, Manag. Sci..

[13]  Rommert Dekker,et al.  Inventory Control in Hybrid Systems with Remanufacturing , 1999 .

[14]  K. Inderfurth Simple optimal replenishment and disposal policies for a product recovery system with leadtimes , 1997 .

[15]  Christopher S. Tang,et al.  Managing a Remanufacturing System with Random Yield: Properties, Observations, and Heuristics , 2012 .

[16]  Elena Katok,et al.  Using Mixed-Integer Programming to Reduce Label Changes in the Coors Aluminum Can Plant , 2000, Interfaces.

[17]  Richard R. Johnson,et al.  Sustainable Business: Opportunity and Value Creation , 2000, Interfaces.

[18]  Steven A. Lippman,et al.  Applying a New Device in the Optimization of Exponential Queuing Systems , 1975, Oper. Res..

[19]  D. Heyman Optimal disposal policies for a single‐item inventory system with returns , 1977 .