The evolution of family level sales forecasts into product level forecasts: Modeling and estimation

IIE Transactions (Institute of Industrial Engineers)

Volumn 39, Issue 9, 2007, Pages 831-843

  Zhou, Shu ^a   Jackson, Peter ^a   Roundy, Robin O ^a   Zhang, Rachel Q ^a  

^a SAS Institute Inc   (United States)

Author keywords

Disaggregation; Forecast evolution; Forecasting; Martingale

Indexed keywords

FORECAST DISAGGREGATION MODEL; FORECAST UPDATE MODEL; MARTINGALE MODEL; SALES FORECAST;

COMPUTER SIMULATION; FORECASTING; MATHEMATICAL MODELS; METHOD OF MOMENTS; PARAMETER ESTIMATION; SALES; STATISTICAL METHODS;

INDUSTRIAL MANAGEMENT;

EID: 34447314434     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170600967131     Document Type: Article

References (14)

1. Aviv, Y. (2001) The effect of collaborative forecasting on supply chain performance. Management Science, 47, pp. 1326-1343.
2. Chen, V. C.P., Ruppert, D. and Shoemaker, C. A. (1999) Applying experimental design and regression splines to high-dimensional continuous-state stochastic dynamic programming. Operations Research, 47, pp. 38-53.
3. Chod, J. and Rudi, N. (2006) Strategic investments, trading and pricing under forecast updating. Management Science, 47, pp. 38-53.
4. Dong, L. and Lee, H. L. (2003) Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand. Operations Research, 51, pp. 969-980.
5. Graves, S. C., Meal, H. C., Dasu, S. and Qiu, Y. (1986) Two-stage production planning in a dynamic environment. Multi-stage Production Planning and Control, pp. 9-43. Springer Verlag, Berlin
6. Graves, S. C., Kletter, D. B. and Hetzel, W. B. (1998) A dynamic model for requirements planning with application to supply chain optimization. Operations Research, 46, pp. S35-S49.
7. Gross, C. W. and Sohl, C. W. (1990) Disaggregation methods to expedite product line forecasting. Journal of Forecasting, 9, pp. 233-254.
8. Güllü, R. (1996) On the value of information in dynamic production/inventory problems under forecast evolution. Naval Research Logistics, 43, pp. 289-303.
9. Hausman, W. H. (1969) Sequential decision problems: A model to exploit existing forecasters. Management Science, 16, pp. B93-B111.
10. Heath, D. C. and Jackson, P. L. (1994) Modeling the evolution of demand forecasts with application to safety stock analysis in production/ distribution systems. IIE Transactions, 26, pp. 17-28.
11. Iida, T. and Zipkin, P. (2001) Approximate solutions of a dynamic forecast-inventory model, Duke University, Durham
12. Lu, X., Song, J. S. and Regan, A. C. (2003) Inventory planning with forecast updates: Approximate solutions and cost error bounds
13. Shao, J. (2003) Mathematical Statistics, Springer Verlag, New York, NY
14. Toktay, L. B. and Wein, L. M. (2001) Analysis of a forecasting-production-inventory system with stationary demand. Management Science, 47, pp. 1268-1281.