Theory and methodology on the global optimal solution to a General Reverse Logistics Inventory Model for deteriorating items and time-varying rates

In this paper, we present a unified general inventory model for integrated production of new items and remanufacturing of returned items for an infinite planning horizon. Our model considers a production environment that consists of three shops. The first shop is for remanufacturing returned items, the second shop is for manufacturing new items, while the third shop is for collecting returned items to be remanufactured in the first shop. The system is subject to joint production and remanufacturing options, the first one is to produce new items while the second one is to reproduce/recycle the returned items ''as-good-as new''. Items deteriorate while they are in storage, and production, remanufacturing, demand, return, and deterioration rates are arbitrary functions of time. A closed form for the total relevant costs as well as a rigorous mathematical proof, which shows the global optimality of the solution to the underlying inventory system are introduced. Illustrative examples, which explain the application of the theoretical results as well as their numerical verifications, are also given.

[1]  R H Teunter ECONOMIC ORDERING QUANTITIES FOR REMANUFACTURABLE ITEM INVENTORY SYSTEMS , 2001 .

[2]  Zaid T. Balkhi,et al.  On a finite horizon production lot size inventory model for deteriorating items: An optimal solution , 2001, Eur. J. Oper. Res..

[3]  K. Richter,et al.  Analysis of the EOQ repair and waste disposal problem with integer setup numbers , 1999 .

[4]  Erwin van der Laan,et al.  Quantitative models for reverse logistics: A review , 1997 .

[5]  Steven Nahmiasj,et al.  A deterministic model for a repairable item inventory system with a finite repair rate , 1979 .

[6]  Ronald S. Tibben-Lembke,et al.  AN EXAMINATION OF REVERSE LOGISTICS PRACTICES , 2001 .

[7]  Mohd Omar,et al.  A model for a production–repair system under a time-varying demand process , 2009 .

[8]  D. Schrady A deterministic inventory model for reparable items , 1967 .

[9]  Stefan Emet An mixed integer approach for optimizing production planning , 2008 .

[10]  C. McMahon,et al.  Reducing waste: repair, recondition, remanufacture or recycle? , 2006 .

[11]  K. Richter,et al.  An extended production/recycling model with stationary demand and return rates , 2004 .

[12]  R. Dekker,et al.  A Framework for Reverse Logistics , 2003 .

[13]  Hülya Behret,et al.  Performance analysis of a hybrid system under quality impact of returns , 2009, Comput. Ind. Eng..

[14]  Hark Hwang,et al.  An optimal operating policy for the production system with rework , 2009, Comput. Ind. Eng..

[15]  Lakdere Benkherouf,et al.  A production lot size inventory model for deteriorating items and arbitrary production and demand rates , 1996 .

[16]  K. Richter The extended EOQ repair and waste disposal model , 1996 .

[17]  Mohamad Y. Jaber,et al.  The EOQ repair and waste disposal model with switching costs , 2008, Comput. Ind. Eng..

[18]  Karl Inderfurth,et al.  Lotsizing in a Production System with Rework and Product Deterioration , 2005, OR.

[19]  József Vörös,et al.  Product balancing under conditions of quality inflation, cost pressures and growth strategies , 2002, Eur. J. Oper. Res..

[20]  Robert W. Grubbström,et al.  Optimal production opportunities in a remanufacturing system , 2006 .

[21]  Gerald L. Thompson,et al.  Optimal strategies for general price-quality decision models of new products with learning production costs , 1996 .

[22]  A. Kaikati,et al.  Stealth Marketing: How to Reach Consumers Surreptitiously , 2004 .

[23]  Manbir S. Sodhi,et al.  Optimizing electronics end-of-life disposal costs , 2000, Proceedings of the 2000 IEEE International Symposium on Electronics and the Environment (Cat. No.00CH37082).

[24]  Mohamad Y. Jaber,et al.  A production/remanufacturing inventory model with price and quality dependant return rate , 2010, Comput. Ind. Eng..

[25]  Ruud H. Teunter,et al.  Lot-sizing for inventory systems with product recovery , 2003, Comput. Ind. Eng..

[26]  K. Richter Pure and mixed strategies for the EOQ repair and waste disposal problem , 1997 .

[27]  K. Richter The EOQ repair and waste disposal model with variable setup numbers , 1996 .

[28]  S. Kalish Monopolist Pricing with Dynamic Demand and Production Cost , 1983 .

[29]  Imre Dobos,et al.  A production/recycling model with stationary demand and return rates ----- Its title in Hungarian: Egy termelési/újrafelhasználási modell konstans keresleti és visszatérési ráta mellett , 2001 .

[30]  Ioannis Konstantaras,et al.  Lot-sizing for a single-product recovery system with backordering , 2006 .

[31]  Gilvan C. Souza,et al.  Reverse Supply Chains for Commercial Returns , 2004 .

[32]  Ludo Gelders,et al.  EOQ type formulations for controlling repairable inventories , 1992 .

[33]  M. Jaber,et al.  The production, remanufacture and waste disposal model with lost sales , 2009 .

[34]  L. V. Wassenhove,et al.  Interactions between operational research and environmental management , 1995 .

[35]  G. Stewart Introduction to matrix computations , 1973 .

[36]  Zaid T. Balkhi,et al.  The effects of learning on the optimal production lot size for deteriorating and partially backordered items with time varying demand and deterioration rates , 2003 .

[37]  Marc A. Rosen,et al.  The economic order quantity repair and waste disposal model with entropy cost , 2008, Eur. J. Oper. Res..

[38]  R. Dodds,et al.  Computer monitor recycling: a case study , 1995 .

[39]  R. Teunter Economic ordering quantities for recoverable item inventory systems , 2001 .

[40]  K. Richter,et al.  A production/recycling model with quality consideration , 2006 .

[41]  Ioannis Konstantaras,et al.  Lot sizing for a single product recovery system with variable setup numbers , 2010, Eur. J. Oper. Res..

[42]  Mohamad Y. Jaber,et al.  An economic production and remanufacturing model with learning effects , 2011 .