Inventory Management with Advance Demand Information and Flexible Delivery

References

• Bourland K. E., Powell S. G., Pyke D. F. Exploiting timely demand information to reduce inventories. Eur. J. Oper. Res. (1996) 92(2):239–253Crossref, Google Scholar
• Buzacott J. A., Shanthikumar J. G. Safety stock versus safety time in MRP controlled production systems. Management Sci. (1994) 40(12):1678–1689Link, Google Scholar
• Chen F. Market segmentation, advanced demand information, and supply chain performance. Manufacturing Service Oper. Management (2001) 3(1):53–67Link, Google Scholar
• Clark A. J., Scarf H. Optimal policies for a multi-echelon inventory problem. Management Sci. (1960) 6(4):475–490Link, Google Scholar
• Cohen M. A., Ho T. H., Ren Z. J., Terwiesch C. Measuring imputed cost in the semiconductor equipment supply chain. Management Sci. (2003) 49(12):1653–1670Link, Google Scholar
• Decroix G. A., Mookerjee V. S. Purchasing demand information in a stochastic-demand inventory system. Eur. J. Oper. Res. (1997) 102(1):36–57Crossref, Google Scholar
• de Véricourt F., Karaesmen F., Dallery Y. Optimal stock allocation for a capacitated supply system. Management Sci. (2002) 48(11):1486–1501Link, Google Scholar
• Dharmadhikari S. W., Joag-dev K.Unimodality, Convexity, and Applications (1988) (Academic Press, Boston) Google Scholar
• Doğru M. K., de Kok A. G., van Houtum G. J. A numerical study of the effect of the balance assumption on system performance in distribution systems. (2005) . Working paper, Technische Universiteit Eindhoven, Eindhoven, The NetherlandsGoogle Scholar
• Eppen G. D., Schrage L., Schwarz L. B. Centralized ordering policies in a multi-warehouse system with leadtimes and random demand. Multi-Level Production/Inventory Control Systems: Theory and Practice (1981) (North-Holland, Amsterdam) 51–69Google Scholar
• Federgruen A., Zipkin P. Approximations of dynamic, multilocation production and inventory problems. Management Sci. (1984) 30(1):69–84Link, Google Scholar
• Gallego G., Özer Ö. Integrating replenishment decisions with advance demand information. Management Sci. (2001) 47(10):1344–1360Link, Google Scholar
• Gallego G., Özer Ö. Optimal replenishment policies for multi-echelon inventory problems under advance demand information. Manufacturing Service Oper. Management (2003) 5(2):157–175Link, Google Scholar
• Graves S. C., Kletter D. B., Hetzel W. B. A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. (1998) 46(3S):S35–S49Link, Google Scholar
• Güllü R. On the value of information in dynamic production/inventory problems under forecast evolution. Naval Res. Logist. (1996) 43(2):289–303Crossref, Google Scholar
• Güllü R. A two-echelon allocation model and the value of information under correlated forecasts and demands. Eur. J. Oper. Res. (1997) 99(2):386–400Crossref, Google Scholar
• Ha A. Y. Inventory rationing in a make-to-stock production system with several demand classes and lost sales. Management Sci. (1997) 43(8):1093–1103Link, Google Scholar
• Hariharan R., Zipkin P. Customer-order information, leadtimes, and inventories. Management Sci. (1995) 41(10):1599–1607Link, Google Scholar
• Heath D. C., Jackson P. L. Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans. (1994) 26(3):17–30Crossref, Google Scholar
• Ho T. H., Zheng Y.-S. Setting customer expectation in service delivery: An integrated marketing-operations perspective. Management Sci. (2004) 50(4):479–488Link, Google Scholar
• Hu X., Duenyas I., Kapuscinski R. Advance demand information and safety capacity as a hedge against demand and capacity uncertainty. Manufacturing Service Oper. Management (2003) 5(1):55–58Link, Google Scholar
• Jemai Z. Modeles stochastiques pour l'aide au pilotage des chaines logistques: l'impact de la decentralisation. (2003) . Ph.D. thesis, Ecole Centrale ParisGoogle Scholar
• Karaesmen F., Buzacott J. A., Dallery Y. Integrating advance order information in make-to-stock production systems. IIE Trans. (2002) 34(8):649–662Crossref, Google Scholar
• Karaesmen F., Liberopoulos G., Dallery Y., Shanthikumar J. G., Yao D. D., Zijm W. H. M. Production/inventory control with advance demand information. Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains, International Series in Operations Research & Management Science (2003) 63(Kluwer Academic Publishers, Boston) 243–270Crossref, Google Scholar
• Karaesmen F., Liberopoulos G., Dallery Y. The value of advance demand information in production/inventory systems. Ann. Oper. Res. (2004) 126(1–4):135–157Crossref, Google Scholar
• Lu Y., Song J.-S., Yao D. D. Order fill rate, leadtime variability, and advance demand information in an assemble-to-order system. Oper. Res. (2003) 51(2):292–308Link, Google Scholar
• McCardle K., Rajaram K., Tang C. S. Advance booking discount programs under retail competition. Management Sci. (2004) 50(5):701–708Link, Google Scholar
• Özer Ö. Replenishment strategies for distribution systems under advance demand information. Management Sci. (2003) 49(3):255–272Link, Google Scholar
• Özer Ö., Wei W. Inventory control with limited capacity and advance demand information. Oper. Res. (2004) 52(6):988–1000Link, Google Scholar
• Tang C. S., Rajaram K., Alptekinoğlu A., Ou J. The benefits of advance booking discount programs: Model and analysis. Management Sci. (2004) 50(4):465–478Link, Google Scholar
• Thonemann U. W. Improving supply-chain performance by sharing advance demand information. Eur. J. Oper. Res. (2002) 142(1):81–107Crossref, Google Scholar
• Toktay L. B., Wein L. M. Analysis of a forecasting-production-inventory system with stationary demand. Management Sci. (2001) 47(9):1268–1281Link, Google Scholar
• Topkis D. M. Optimal ordering and rationing policies in a nonstationary dynamic inventory model with n demand classes. Management Sci. (1968) 15(3):160–176Link, Google Scholar
• van Donselaar K., Kopczak L. R., Wouters M. The use of advance demand information in a project-based supply chain. Eur. J. Oper. Res. (2001) 130(3):519–538Crossref, Google Scholar
• Veinott A. F. Optimal policy in a dynamic, single product, nonstationary inventory model with several demand classes. Oper. Res. (1965) 13(5):761–778Link, Google Scholar
• Veinott A. F. On the optimality of (s, S) inventory policies: New conditions and a new proof. SIAM J. Appl. Math. (1966) 14(5):1067–1083Crossref, Google Scholar
• Veinott A. F., Wagner H. M. Computing optimal (s, S) inventory policies. Management Sci. (1965) 11(5):525–552Link, Google Scholar
• Wang T., Chen Y., Feng Y. On the time-window fulfillment rate in a single-item min-max inventory control system. IIE Trans. (2005) 37(7):667–680Crossref, Google Scholar
• Wijngaard J., Karaesmen F. Advance demand information and a restricted production capacity: On the optimality of order base-stock policies. OR Spectrum (2007) 29:643–660Crossref, Google Scholar
• Zheng Y.-S., Federgruen A. Finding optimal (s, S) policies is about as simple as evaluating a single policy. Oper. Res. (1991) 39(4):654–665Link, Google Scholar
• Zhu K., Thonemann U. W. Modeling the benefits of sharing future demand information. Oper. Res. (2004) 52(1):136–147Link, Google Scholar