Inventory Management for an Assembly System with Product or Component Returns

References

• Chen F., Zheng Y. Lower bounds for multi-echelon stochastic inventory systems. Management Sci. (1994) 40:1426–1443Link, Google Scholar
• Clark A., Scarf H. Optimal policies for a multi-echelon inventory problem. Management Sci. (1960) 6:475–490Link, Google Scholar
• Cohen M., Nahmias S., Pierskalla W. A dynamic inventory system with recycling. Naval Res. Logist. Quart. (1980) 27:289–296Crossref, Google Scholar
• DeCroix G. Optimal inventory policy for a multi-echelon inventory system with remanufacturing. Oper. Res. (2001) . ForthcomingGoogle Scholar
• DeCroix G., Song J.-S., Zipkin P. A series system with returns: Stationary analysis. Oper. Res. (2005) 53:350–362Link, Google Scholar
• Dekker R., Fleischmann M., Inderfurth K., van Wassenhove L.Reverse Logistics: Quantitative Models for Closed-Loop Supply Chains (2004) (Springer, New York) Crossref, Google Scholar
• Diem W. Makers must dispose of autos. Detroit Free Press (1999) September 2):4Google Scholar
• Ding F.-Y., Hodgson T., King R. A methodology for computation reduction for specially structured large scale Markov decision problems. Eur. J. Oper. Res. (1988) 34:105–112Crossref, Google Scholar
• Federgruen A., Zipkin P. Computational issues in an infinite-horizon, multiechelon inventory model. Oper. Res. (1984) 32:818–836Link, Google Scholar
• Fleischmann M. Quantitative models for reverse logistics. (2000) . Ph.D. thesis, Erasmus University, Rotterdam, The NetherlandsGoogle Scholar
• Fleischmann M., Kuik R., Dekker R. Controlling inventories with stochastic item returns: A basic model. Eur. J. Oper. Res. (2002) 138:63–75Crossref, Google Scholar
• Fleischmann M., Bloemhof-Ruwaard J. M., Dekker R., van der Laan E., van Nunen J. A. E. E., van Wassenhove L. N. Quantitative models for reverse logistics: A review. Eur. J. Oper. Res. (1997) 103:1–17Crossref, Google Scholar
• Frankel C. The environment. IEEE Spectrum (1996) 33:76–81Crossref, Google Scholar
• Heyman D., Sobel M.Stochastic Models in Operations Research (1984) II(McGraw-Hill, New York) Google Scholar
• Howard R.Dynamic Programming and Markov Processes (1960) (MIT Press, Cambridge, MA) Google Scholar
• Inderfurth K. Simple optimal replenishment and disposal policies for a product recovery system with leadtimes. OR Spektrum (1997) 19:111–122Crossref, Google Scholar
• Kelle P., Silver E. Purchasing policy of new containers considering the random returns of previously issued containers. IIE Trans. (1989) 21:349–354Crossref, Google Scholar
• Kiesmueller G., van der Laan E. An inventory model with dependent product demands and returns. Internat. J. Production Econom. (2001) 72:73–87Crossref, Google Scholar
• Mahadevan B., Pyke D., Fleischmann M. Periodic review, push inventory policies for remanufacturing. Eur. J. Oper. Res. (2003) 151:536–551Crossref, Google Scholar
• Rosling K. Optimal inventory policies for assembly systems under random demands. Oper. Res. (1989) 37:565–579Link, Google Scholar
• Scarf H., Arrow K., Karlin S., Suppes P. The optimality of (s, S) policies in the dynamic inventory problem. Mathematical Models in the Social Sciences (1960) (Stanford University Press, Stanford, CA) Google Scholar
• Schmidt C., Nahmias S. Optimal policy for a two-stage assembly system under random demand. Oper. Res. (1985) 33:1130–1145Link, Google Scholar
• Simpson V. Optimum solution structure for a repairable inventory problem. Oper. Res. (1978) 26:270–281Link, Google Scholar
• Tedeschi B. Online retailers grapple with the age-old problem of handling returned merchandise. The New York Times (2001) May 28):C6Google Scholar
• Toktay L. B., Wein L., Zenios S. Inventory management of remanufacturable products. Management Sci. (2000) 46:1412–1426Link, Google Scholar
• Zipkin P.Foundations of Inventory Management (2000) (McGraw-Hill, New York) Google Scholar