On the benefits of collaborative forecasting partnerships between retailers and manufacturers

Management Science

Volumn 53, Issue 5, 2007, Pages 777-794

  Aviv, Yossi ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Collaborative forecasting; Inventory production; Optimal control; Production planning; production smoothing; Supply chain management

Indexed keywords

COLLABORATIVE FORECASTING; INVENTORY-PRODUCTION; OPTIMAL CONTROL; PRODUCTION PLANNING; PRODUCTION SMOOTHING;

INVENTORY CONTROL; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; PLANNING; PRODUCTION; SUPPLY CHAIN MANAGEMENT;

TECHNOLOGICAL FORECASTING;

EID: 38549095612     PISSN: 00251909     EISSN: 15265501     Source Type: Journal    
DOI: 10.1287/mnsc.1060.0654     Document Type: Article

References (32)

1. AMR Research. 2001. Beyond CPFR: Collaboration comes of age - The report on retail e-business, http://www.amrresearch.com.
2. Aviv, Y. 2001. The effect of collaborative forecasting on supply chain performance. Management Sci. 47(10) 1326-1343.
3. Aviv, Y. 2003. A time series framework for supply chain inventory management. Oper. Res. 51(2) 210-227.
4. Aviv, Y. 2004. Collaborative forecasting and its impact on supply chain performance. D. Simchi-Levi, S. D. Wu, Z. Shen, eds. Handbook of Quantitative Supply Chain Analysis-Modeling in the E-Business Era. Kluwer Academic Publishers, Norwell, MA, 393-446.
5. Aviv, Y., A. Federgruen. 1998. The operational benefits of information sharing and vendor-managed inventory (VMI) programs. Working paper, Washington University, St. Louis, MO.
6. Axsäter, S., K. Rosling. 1993. Notes: Installation vs. echelon stock policies for multilevel inventory control. Management Sci. 39(10) 1274-1280.
7. Cachon, G. 2001. Exact evaluation of batch-ordering policies in two-echelon supply chains with periodic review. Oper. Res. 49(1) 79-98.
8. Cachon, G., M. Fisher. 2000. Supply chain inventory management and the value of shared information. Management Sci. 46(8) 1032-1048.
9. Cachon, G. P., M. A. Lariviere. 2001. Contracting to assure supply: How to share demand forecasts in a supply chain. Management Sci. 47(5) 629-646.
10. Cachon, G. P., P. H. Zipkin. 1997. Competitive and cooperative inventory policies in a two-stage supply chain. Management Sci. 45(7) 936-953.
11. Clark, A. J., H. Scarf. 1960. Optimal policies for a multi-echelon inventory problem. Management Sci. 6(4) 475-490.
12. CPFR. 1999. Roadmap to CPFR: The case studies. Voluntary Interindustry Commerce Standards Association (VICS), Lawrenceville, NJ.
13. Ettl, M., G. E. Feigin, G. Y. Lin, D. D. Yao. 2000. A supply network model with base-stock control and service requirements. Oper. Res. 48(2) 216-232.
14. Gavirneni, S., R. Kapuscinski, S. Tayur. 1999. Value of information in capacitated supply chains. Management Sci. 45(1) 16-24.
15. Graves, S. C. 1996. A multiechelon inventory model with fixed replenishment intervals. Management Sci. 42(1) 1-18.
16. Graves, S. C. 1999. A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management 1(1) 50-61.
17. Graves, S. C., D. B. Kletter, W. B. Hetzel. 1998. A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. 46(S3) 35-49.
18. Kahn, J. 1987. Inventories and the volatility of production. Amer. Econom. Rev. 667-679.
19. KJR Consulting. 2002. CPFR baseline study-Manufacturer profile. Grocery Manufacturers of America, Washington, D.C.
20. Kurtulus, M., B. Toktay. 2004. Investing in forecast collaboration. Working paper, INSEAD, Fontainebleau, France.
21. Lee, H. L., C. Billington. 1993. Material management in decentralized supply chains. Oper. Res. 41(5) 835-847.
22. Lee, H. L., K. C. So, C. S. Tang. 2000. The value of information sharing in a two-level supply chain. Management Sci. 46(5) 626-643.
23. Mishra, B. K., S. Raghunathan, X. Yue. 2001. Demand forecast sharing in supply chains. Working paper, University of Texas at Dallas, Dallas, TX.
24. Miyaoka, J. 2003. Implementing collaborative forecasting through buyback contracts. Working paper, San Francisco State University, San Francisco, CA.
25. Miyaoka, J., W. Hausman. 2004. How a base stock policy using "stale" forecasts provides supply chain benefits. Manufacturing Service Oper. Management 6(2) 149-162.
26. Özer, Ö., W. Wei. 2006. Strategic commitments for an optimal capacity decision under asymmetric forecast information. Management Sci. 52(8), 1239-1258.
27. Sethi, S. P., G. L. Thompson. 2000. Optimal Control Theory: Applications to Management Science and Economics, 2nd ed. Kluwer, Norwell, MA.
28. Simchi-Levi, D., Y. Zhao. 2003. The value of information sharing in a two-stage supply chain with production capacity constraints. Naval Res. Legist. 50 888-916.
29. Simchi-Levi, D., Y. Zhao. 2005. Safety stock positioning in supply chains with stochastic lead times. Working paper, Massachusetts Institute of Technology, Cambridge, MA.
30. Supply Chain Council. 2004. Supply chain operations reference-model (SCOR) 6.1. Supply Chain Council, Pittsburgh, PA.
31. Svoronos, A., P. Zipkin. 1991. Evaluation of one-for-one replenishment policies for multiechelon inventory systems. Management Sci. 37(1) 68-83.
32. Zhang, X. L., Y. Zhao. 2004. The impact of external demand information on interacting supply chains. Working paper, Rutgers University, Newark, NJ.