Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information
Published Online:1 Dec 1998https://doi.org/10.1287/mnsc.44.12.S221
References
- , Graves S. , Rinnooy kan A. , Zipkin P. Continuous review policies for multi-level inventory systems with stochastic demand. Handbook in Operations Research and Management Science, Vol. 4, Logistics of Production and Inventory (1993) (North-Holland, Amsterdam) . 1993 Crossref, Google Scholar
- Installation vs. echelon stock policies for multilevel inventory control. Management Sci. (1993) 39 1274 1280 Link, Google Scholar
- Determining lot sizes and resource requirements: A review. Oper. Res. (1987) 35 329 345 Link, Google Scholar
- Echelon reorder points installation reorder points, and the value of centralized demand information. (1995) . Unabridged Working paper, Graduate School of Business, Columbia University, New York Google Scholar
- 94%-Effective policies for a two-stage serial system with stochastic demand. (1996) . Working paper Graduate School of Business, Columbia University, New York Google Scholar
- Stationary policies in multi-echelon inventory systems with deterministic demand and backlogging. Oper. Res. (1998) 46 S26 S34 Link, Google Scholar
- Evaluating echelon stock (R, nQ) policies in serial production/inventory systems with stochastic demand. Management Sci. (1994a) 40 1262 1275 Link, Google Scholar
- Lower bounds for multi-echelon stochastic inventory systems. Management Sci. (1994b) 40 1426 1443 Link, Google Scholar
- Near-optimal echelon-stock (R, nQ) policies in multistage serial systems. Oper. Res. (1998) 46 592 602 Link, Google Scholar
- Optimal policies for a multi-echelon inventory problem. Management Sci. (1960) 6 475 490 Link, Google Scholar
- , Arrow K. , Karlin S. , Scarf H. Approximate solutions to a simple multi-echelon inventory problem. Studies in Applied Probability and Management Science (1962) (Stanford University Press, Stanford, CA) Google Scholar
- Continuous review policies for a multiechelon inventory problem with stochastic demand. Management Sci. (1985) 31 1286 1295 Link, Google Scholar
- Make-to-stock or make-to-order: That is the question; Novel Answers to an Ancient Debate. (1994) . Graduate School of Business, Columbia University, New York, 1994 Google Scholar
- An efficient algorithm for computing an optimal (r, Q) policy in continuous review stochastic inventory systems. Oper. Res. (1992) 40 808 813 Link, Google Scholar
- Computational issues in an infinite-horizon, multi-echelon inventory model. Oper. Res. (1984) 32 818 836 Link, Google Scholar
- A family of inventory models. Management Sci. (1961) 7 351 371 Link, Google Scholar
- Customer-order information, leadtimes, and inventories. Management Sci. (1995) 41 1599 1607 Link, Google Scholar
- Kanban, MRP, and shaping the manufacturing environment. Management Sci. (1987) 33 39 57 Link, Google Scholar
- Information distortion in a supply chain: The bullwhip effect. Management Sci. (1997) 43 546 558 Link, Google Scholar
- Communication and inventory as substitutes in organizing production. Scand. J. Econom. (1988) 90 275 289 Crossref, Google Scholar
- , Graves S. , Rinnooy Kan A. , Zipkin P. Analysis of multi-stage production systems. Handbook in Operations Research and Management Science, Vol. 4, Logistics of Production and Inventory (1993) (North-Holland, Amsterdam) Crossref, Google Scholar
- On base-stock policies for make-to-order/make-to-stock production. (1995) (MIT, Cambridge, MA) Google Scholar
- Optimal inventory policies for assembly systems under random demand. Oper. Res. (1989) 37 565 579 Link, Google Scholar
- On properties of stochastic inventory systems. Management Sci. (1992) 38 87 103 Link, Google Scholar
- Inventory policies with quantized ordering. Naval Res. Logist. (1992) 39 285 305 Crossref, Google Scholar

