A fuzzy echelon approach for inventory management in supply chains

European Journal of Operational Research

Volumn 149, Issue 1, 2003, Pages 185-196

  Giannoccaro, Ilaria ^a   Pontrandolfo, Pierpaolo ^a   Scozzi, Barbara ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Echelon stock; Fuzzy set theory; Inventory policies; Supply chain management

Indexed keywords

COMPUTER SIMULATION; COSTS; FUZZY SETS; INVENTORY CONTROL;

SUPPLY CHAIN MANAGEMENT;

OPERATIONS RESEARCH;

EID: 0037545832     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(02)00441-1     Document Type: Article

References (34)

1. Arnold J.R.T. Introduction to Materials Management. 1998;Prentice Hall, USA.
2. M. Christopher, Logistic and Supply Chain Management, Pitman Pub., London, 1992.
3. Lee H.L., Billington C. Managing supply chain inventory: Pitfalls and Opportunities. Sloan Management Review. 33:1992;65-73.
4. Lee H.L., Padmanabhan V., Whang S. The bullwhip effect in the supply chains. Sloan Management Review. 38:1997;93-102.
5. Fisher M.L. What is the right supply chain for your product. Harvard Business Review. 75:1997;105-116.
6. Forrester J.W. Industrial Dynamics. 1961;MIT Press, Cambridge, Massachusetts.
7. Towill D.R. Industrial dynamics modeling of supply chains. Logistics Information Management. 9:1996;43-56.
8. Clark A.H., Scarf H. Optimal policies for a multi-echelon inventory problem. Management Science. 6:1960;475-490.
9. Axsater S., Rosling K. Installation vs. Echelon Stock Policies for multilevel inventory control. Management Science. 39:1993;1274-1280.
10. Verwijmeren M., van der Vlist P., van Donselaar K. Networked inventory management information systems: Materializing supply chain management. International Journal of Physical Distribution and Logistics Management. 26(6):1996;16-31.
11. Karwowski W., Evans G.W. Fuzzy concepts in production management research: A review. International Journal of Production Research. 24(1):1986;129-147.
12. Park K.S. Fuzzy-set theoretic interpretation of economic order quantity. IEEE Transactions on Systems, Man, and Cybernetics. SMC-17:1987;1082-1084.
13. Porteus E. Stochastic inventory theory. Heyman D.P., Sobel M.J. Handbook of Operations Research. 1990;North Holland, Amsterdam.
14. Federgruen A. Centralized planning models for multi-echelon inventory systems under uncertainty. Graves S.C., Rinnooy Kan A.H.G., Zipkin P.H. Handbooks in Operations Research and Management Science. vol. 4:1993;North Holland, Amsterdam.
15. Chen F., Zheng Y. Evaluating echelon stock (R, nQ) policies in multistage serial systems Operations Research. 46:1994;592-602.
16. Petrovic D., Roy R., Petrovic R. Supply chain modelling using fuzzy sets. International Journal of Production Economics. 59:1999;443-453.
17. Sommer G. Fuzzy Inventory Scheduling, Applied Systems and Cybernetics, vol. 6. 1981;Academic Press.
18. Katagiri H., Ishii H. Some inventory problems with fuzzy shortage costs. Fuzzy Sets and Systems. 111:2000;87-97.
19. Blackburn J.D. Time-based Competition: The Next Battleground in American Manufacturing. 1991;Irwin, Homewood, IL.
20. H.-J. Zimmermann, An application-oriented view of modeling uncertainty, European Journal of Operational Research 122 (2000) 190-198.
21. Bezdek J.C. The thirsty traveler visits Gamont: A rejoinder to comments on fuzzy sets. - what are they and why IEEE Transactions on Fuzzy Systems. 2(1):1994;43-45.
22. F. Chen, A. Federgruen, Y. Zheng, Coordination mechanisms for a decentralized distribution system with one supplier and multiple retailers, Working Paper, Columbia University, New York, 1997.
23. Federgruen A., Zipkin P. Computational issues in an infinite-horizon, multi-echelon inventory model. Operations Research. 32:1984;818-836.
24. Chen F., Zheng Y. Lower bounds for multi-echelon stochastic inventory systems. Management Science. 40:1994;1426-1443.
25. Zadeh L. The concept of a linguistic variable and its application in approximate reasoning (Part II). Information Science. 8:1975;301-357.
26. Zadeh L. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics. 15:1975;28-44.
27. H.J. Zimmermann, Fuzzy Sets Theory - and Its Applications, Kluwer-Nijoff Pub., Boston, 1988.
28. Chen F. Stationary policies in multiechelon inventory systems with deterministic demand and backlogging. Operations Research. 46:1998;S26-S34.
29. Muckstadt J.A., Roundy R.O. Analysis of multistage production systems. Graves S., Rinnooy Kan A., Zipkin P. Logistics of Production and Inventory. vol. 4:1993;Elsevier, North-Holland, Amsterdam, The Netherlands.
30. Jang J., Sun C.T. Neuro-fuzzy modeling and control. Proceedings of IEEE. 83:1995;378-405.
31. Kelton W.D., Sadowski R.P., Sadowsky D.A. Simulation with Arena. 1998;McGraw-Hill, New York.
32. Mizumoto M., Tanaka K. Some properties of fuzzy numers. Gupta M.M., Ragade R.K., Yager R.R. Advanced in Fuzzy Set Theory and Applications. 1991;North Holland, Amsterdam.
33. Kauffmann A. Introduction to the Theory of Fuzzy Subsets, vol. 1. 1975;Academic Press Inc. London.
34. Mares M. Computation over Fuzzy Quantities. 1994;CRC Press Inc. Boca Raton.