Competition and cooperation in a two-stage supply chain with demand forecasts

Operations Research

Volumn 58, Issue 5, 2010, Pages 1350-1363

  Iida, Tetsuo ^a   Zipkin, Paul ^b  

^a KOMAZAWA UNIVERSITY   (Japan)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION AND COOPERATION; DEMAND FORECAST; MARTINGALE MODEL OF FORECAST EVOLUTIONS; SHARING INFORMATION; TWO STAGE;

FORECASTING; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

COMPETITION;

EID: 77958487330     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.1100.0809     Document Type: Article

References (29)

1. Aviv, Y. 2001. The effect of collaborative forecasting on supply chain performance. Management Sci. 47 1326-1343.
2. Aviv, Y. 2002. Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing Service Oper. Management 4 55-74.
3. Aviv, Y. 2007. On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Sci. 53 777-794.
4. Bernstein, F., G. A. DeCroix. 2006. Inventory policies in a decentralized assembly system. Oper. Res. 54 324-336.
5. Cachon, G. P. 2003. Supply chain coordination with contracts. A. G. de Kok, S. C. Graves, eds. Supply Chain Management: Design, Coordination and Operation. Handbooks in Operations Research and Management Science, Vol. 11. Elsevier, Amsterdam.
6. Cachon, G. P., P. Zipkin. 1999. Competitive and cooperative inventory policies in a two-stage supply chain. Management Sci. 45 936-953.
7. Chen, F. 1999. Decentralized supply chains subject to information delays. Management Sci. 45 1076-1090.
8. Chen, F. 2003. Information sharing and supply chain coordination. A. G. de Kok, S. C. Graves, eds. Supply Chain Management: Design, Coordination and Operation. Handbooks in Operations Research and Management Science, Vol. 11. Elsevier, Amsterdam.
9. Chen, F., J. Song. 2001. Optimal policies for multiechelon inventory problems with Markov-modulated demand. Oper. Res. 49 226-234.
10. Chen, F., Y. S. Zheng. 1994. Lower bounds for multi-echelon stochastic inventory systems. Management Sci. 40 1426-1443.
11. Dong, L., H. Lee. 2003. Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand. Oper. Res. 51 969-980.
12. Gallego, G., Ö. Özer. 2001. Integrating replenishment decisions with advance demand information. Management Sci. 47 1344-1360.
13. Gallego, G., Ö. Özer. 2003. Optimal replenishment policies for multiech- elon inventory problems under advance demand information. Manufacturing Service Oper. Management 5 157-175.
14. Graves, S., D. Kletter, W. Hetzel. 1998. A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. 46 S35-S49.
15. Graves, S., H. Meal, S. Dasu, Y. Qin. 1986. Two-stage production planning in a dynamic environment. S. Axsater, C. Schneeweiss, E. Silver, eds. Multi-Stage Production Planning and Inventory Control. Lecture Notes in Economics and Mathematical Systems, Vol. 266. Springer-Verlag, Berlin, 9-43.
16. Güllü, R. 1996. On the value of information in dynamic production/inventory problems under forecast evolution. Naval Res. Logist. 43 289-303.
17. Hausman, W. H. 1969. Sequential decision problems: A model to exploit existing forecasters. Management Sci. 16 B93-B111.
18. Heath, D., P. Jackson. 1994. Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans. 26 17-30.
19. Iida, T., P. Zipkin. 2006. Approximate solutions of a dynamic forecast-inventory model. Manufacturing Service Oper. Management 8 407-425.
20. Lee, H. L., S. Whang. 1999. Decentralized multiechelon supply chains: Incentives and information. Management Sci. 45 633-640.
21. Lee, H. L., K. C. So, C. S. Tang. 2000. The value of information sharing in a two-level supply chain. Management Sci. 46 626-643.
22. Lu, X., J.-S. Song, A. Regan. 2006. Inventory planning with forecast updates: Approximate solutions and cost error bounds. Oper. Res. 54 1079-1097.
23. Porteus, E. L. 2000. Responsibility tokens in supply chain management. Manufacturing Service Oper. Management 2 203-219.
24. Raghunathan, S. 2001. Information sharing in a supply chain: A note on its value when demand is nonstationary. Management Sci. 47 605-610.
25. Toktay, L. B., L. M. Wein. 2001. Analysis of a forecasting-production- inventory system with stationary demand. Management Sci. 47 1268-1281.
26. Watson, N., Y. S. Zheng. 2005. Decentralized serial supply chains subject to order delays and information distortion: Exploiting real-time sales data. Manufacturing Service Oper. Management 7 152-168.
27. Zhang, F. 2006. Competition, cooperation, and information sharing in a two-echelon assembly system. Manufacturing Service Oper. Management 8 273-291.
28. Zhu, K., U. W. Thonemann. 2004. Modeling the benefits of sharing future demand information. Oper. Res. 52 136-147.
29. Zipkin, P. 2000. Foundations of Inventory Management. McGraw-Hill, New York.