Bounds, heuristics, and approximations for distribution systems

Operations Research

Volumn 55, Issue 3, 2007, Pages 503-517

  Gallego, Guillermo ^a   Özer, Özalp ^b   Zipkin, Paul ^c  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b STANFORD UNIVERSITY   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

Inventory, production: multi item, echelon, stage, approximation, heuristics; Operating characteristics; Uncertainty: stochastic

Indexed keywords

OPERATING CHARACTERISTICS; STOCHASTIC DEMAND;

APPROXIMATION THEORY; INVENTORY CONTROL; RANDOM PROCESSES; UNCERTAINTY ANALYSIS;

HEURISTIC METHODS;

EID: 38549163759     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.1060.0373     Document Type: Article

References (26)

1. Aviv, Y., A. Federgruen. 2001. Design for postponement: A comprehensive characterization of its benefits under unknown demand distributions. Oper. Res. 49 578-598.
2. Axsäter, S. 1990. Simple solution procedures for a class of two-echelon inventory problems. Oper. Res. 38 64-69.
3. Axsäter, S. 1993. Continuous review policies for multi-level inventory systems with stochastic demand. S. Graves, A. Rinnooy Kan, P. Zipkin, eds. Handbooks in Operations Research and Management Science, Vol. 4. Logistics of Production and Inventory. North-Holland, Amsterdam, The Netherlands.
4. Axsäter, S. 2003. Approximate optimization of a two-level distribution system. Internat. J. Production Econom. 81-82 545-553.
5. Axsäter, S., K. Rosling. 1993. Notes: Installation vs. echelon stock policies for multilevel inventory control. Management Sci. 39 1274-1280.
6. Axsäter, S., W. Zhang. 1996. Recursive evaluation of order-up-to-Spolicies for two-echelon inventory systems with compound-Poisson demand. Naval Res. Logist. 43 151-157.
7. Chen, F. 2003. Information sharing and supply chain coordination. S. Graves, T. de Kok, eds. Handbooks in Operations Research and Management Science, Vol. 11. Supply Chain Management: Design, Coordination, and Operation. North-Holland, Amsterdam, The Netherlands.
8. Chen, F., Y. Zheng. 1994. Lower bounds for multi-echelon stochastic inventory systems. Management Sci. 40 1426-1443.
9. Clark, A., H. Scarf. 1960. Optimal policies for a multi-echelon inventory problem. Management Sci. 6 475-490.
10. Diks, E. B., A. G. de Kok. 1998. Optimal control of a divergent multiechelon inventory system. Eur. J. Oper. Res. 111 75-97.
11. Dogru, M. K., A. G. de Kok, G. J. van Houtum. 2005. A numerical study on the effect of the balance assumption in one-warehouse multiretailer inventory systems. Working paper, Eindhoven University of Technology, Eindhoven, The Netherlands.
12. Eppen, G., L. Schrage. 1981. Centralized ordering policies in a multiwarehouse system with leadtimes and random demand. L. B. Schwarz, ed. Multi-Level Production/Inventory Control Systems: Theory and Practice. North-Holland, Amsterdam, The Netherlands.
13. Federgruen, A. 1993. Centralized planning models for multi-echelon inventory systems under uncertainty. S. Graves, A. Rinnooy Kan, P. Zipkin, eds. Handbooks in Operations Research and Management Science, Vol. 4. Logistics of Production and Inventory. North-productionHolland, Amsterdam, The Netherlands.
14. Federgruen, A., P. Zipkin. 1984. Approximations of dynamic, multilocation production and inventory problems. Management Sci. 30 69-84.
15. Gallego, G., I. Moon. 1993. The distribution free newsboy problem: Review and extensions. J. Oper. Res. Soc. 44 825-834.
16. Gallego, G., P. Zipkin. 1999. Stock positioning and performance estimation for multi-stage production-transportation systems. Manufacturing Service Oper. Management 1 77-88.
17. Graves, S. 1985. A multi-echelon inventory model for a repairable item with one-for-one replenishment. Management Sci. 31 1247-1256.
18. Lee, H., C. Billington, B. Carter. 1993. Hewlett-Packard gains control of inventory and service through design for localization. Interfaces 23(4) 1-11.
19. Özer, Ö. 2003. Replenishment strategies for distribution systems under advance demand information. Management Sci. 49 255-272.
20. Rosenfield, D., M. Pendrock. 1980. The effects of warehouse configuration design on inventory levels and holding costs. Sloan Management Rev. 21(4) 21-33.
21. Schwarz, L. B., ed. 1981. Multi-Level Production/Inventory Control Systems: Theory and Practice. North-Holland, Amsterdam, The Netherlands.
22. Sherbrooke, C. 1968. METRIC: A multi-echelon technique for recoverable item control. Oper. Res. 16 122-141.
23. Simchi-Levi, D., P. Kaminsky, E. Simchi-Levi. 2000. Designing and Managing Supply Chain: Concepts, Strategies and Case Studies. McGraw-Hill, New York.
24. Simon, R. M. 1971. Stationary properties of a two-echelon inventory model for low demand items. Oper. Res. 19 761-773.
25. Stalk, G., P. Evans, L. Shulman. 1992. Competing on capabilities: The new rules of corporate strategy. Harvard Bus. Rev. 70(March-April) 57-69.
26. Zipkin, P. 2000. Foundations of Inventory Management. McGraw-Hill, New York.