Decentralized inventory control in a two-level distribution system

European Journal of Operational Research

Volumn 127, Issue 3, 2000, Pages 483-506

  Andersson, Jonas ^a   Marklund, Johan ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS; DECENTRALIZED CONTROL; DISTRIBUTION OF GOODS; NUMERICAL ANALYSIS; RANDOM PROCESSES;

ARBORESCENT SYSTEMS; BATCH ORDERING; MULTIECHELON SYSTEMS; SUPPLY CHAIN;

INVENTORY CONTROL;

EID: 0034547905     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(99)00332-X     Document Type: Article

References (27)

1. Andersson J., Axsäter S., Marklund J. Decentralized multi-echelon inventory control. Production and Operations Management. 7:1998;370-386.
2. Axsäter, S., 1993. Continuous review policies for multi-level inventory systems with stochastic demand. In: Graves S.C. et al. (Eds.), Handbooks in OR & MS, vol. 4, pp. 175-197.
3. Axsäter, S., 1995. A framework for decentralized multi-echelon inventory control. Working paper, Lund University.
4. Axsäter S. Using the deterministic EOQ formula in stochastic inventory control. Management Science. 42:1996;830-834.
5. Axsäter S. Simple evaluation of echelon stock. (R,Q) -policies for two-level inventory systems IIE Transactions. 29:1997;661-669.
6. Axsäter, S., 1998a. Exact analysis of continuous review (R,Q) -policies in two-echelon inventory systems with compound Poisson demand. Working paper, Lund University.
7. Axsäter S. Evaluation of installation stock based. (R,Q) -policies for two-level inventory systems with Poisson demand Operations Research. 46:1998b;135-145.
8. Browne S., Zipkin P. Inventory models with continuous stochastic demands. The Annals of Applied Probability. 1:1991;419-435.
9. Chen, F., 1997. Decentralized supply chains subject to information delays. Working paper, Graduate School of Business, Columbia University, New York.
10. Chen F., Zheng Y.S. One warehouse multi-retailer systems with centralized stock information. Operations Research. 45:1997;275-287.
11. Clark A.J., Scarf H. Optimal policies for a multi-echelon inventory problem. Management Science. 6:1960;475-490.
12. Diks E.B., De Kok A.G., Lagodimos A.G. Multi-echelon systems: A service measure perspective. European Journal of Operational Research. 95:1996;241-263.
13. Deuermeyer, B.L., Schwarz, L.B., 1981. A model for the analysis of system service level in warehouse-retailer distribution systems: The identical retailer case. In: Schwarz, L. (Ed.), Multilevel Production/Inventory Control Systems, ch. 13, TIMS Studies in Management Science, vol. 16. Elsevier, New York.
14. Federgruen, A., 1993. Centralized planning models for multi-echelon inventory systems under uncertainty. In: Graves S.C. et al. (Eds.), Handbooks in OR & MS, vol. 4. North-Holland, Amsterdam, pp. 133-173.
15. Forsberg R. Exact evaluation of. (R,Q) -policies for two-level inventory systems with Poisson demand European Journal of Operational Research. 96:1997;130-138.
16. Hadley, G., Whitin,T.M., 1963. Analysis of Inventory Systems. Prentice-Hall, Englewood Cliffs, NJ.
17. Hausman W.H., Erkip N.K. Multi-echelon vs. single-echelon inventory control policies for low-demand items. Management Science. 40:1994;597-602.
18. Lee H., Billington C. Material management in decentralized supply chains. Operations Research. 41:1993;835-847.
19. Lee H., Moinzadeh K. Operating characteristics of a two-echelon inventory system for repairable and consumable items under batch ordering and shipment policy. Naval Research Logistics. 34:1987;365-380.
20. Lee, H., Whang, S., 1994. Decentralized multi-echelon inventory control systems incentives and information. Working paper, Stanford University.
21. Muckstadt J.A., Thomas L.J. Are multi-echelon inventory models worth implementing in systems with low-demand-rate items? Management Science. 26:1980;483-494.
22. Sherbrooke C.C. METRIC: A multi-echelon technique for recoverable item control. Operations Research. 16:1968;122-141.
23. Silver, E.A., Peterson, R., 1985. Decision Systems for Inventory Management and Production Planning, second ed. Wiley, New York.
24. Svoronos A., Zipkin P. Estimating the performance of multi-level inventory systems. Operations Research. 36:1988;57-72.
25. Van Houtum G.J., Inderfurth K., Zijm W.H.M. Materials coordination in stochastic multi-echelon systems. European Journal of Operational Research. 95:1996;1-23.
26. Zheng Y.S. On properties of stochastic inventory systems. Management Science. 38:1992;87-103.
27. Zipkin P. Inventory service-level measures convexity and approximation. Management Science. 33:1986;975-981.