Clustering customers to forecast demand

Production Planning and Control

Volumn 16, Issue 1, 2005, Pages 32-43

  Caniato, Federico ^a   Kalchschmidt, Matteo ^b,d   Ronchi, Stefano ^a,e   Verganti, Roberto ^a,f   Zotteri, Giulio ^c  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITY OF BERGAMO   (Italy)

^c POLITECNICO DI TORINO   (Italy)

^d Global Manufacturing Research Group   (Italy)

^e Politecnico   (Italy)

^f MaDe In Lab

Author keywords

Clustering customers; Demand forecast; Lumpy demand

Indexed keywords

CLUSTERING CUSTOMERS; DEMAND FORECAST; LUMPY DEMAND;

FORECASTING; INDUSTRIAL MANAGEMENT; MATHEMATICAL MODELS; PROBLEM SOLVING; STRATEGIC PLANNING;

PRODUCTION CONTROL;

EID: 27844481527     PISSN: 09537287     EISSN: 13665871     Source Type: Journal    
DOI: 10.1080/09537280512331325155     Document Type: Article

References (24)

1. Armstrong, J.S., Principles of Forecasting - A Handbook for Researchers and Practitioners, 2001 (Kluwer Academic: Boston, MA).
2. Bartezzaghi, E. and Verganti, R., Managing demand uncertainty through order overplanning. International Journal of Production Economics, 1995, 40, 107-120.
3. Bartezzaghi, E., Verganti, R. and Zotteri, G., A simulation framework for forecasting uncertain lumpy demand. International Journal of Production Economics, 1999, 59, 499-510.
4. Box, G.E.P. and Jenkins, G.M., Time Series Analysis: Forecasting and Control, 1976 (Holden-Day: San Francisco).
5. Cachon, G. and Fisher, M., Campbell soup's continuous replenishment program: evaluation and enhanced inventory decision rules. Production and Operations Management, 1997, 6, 266-276.
6. Croston, J.K., Forecasting and stock control for intermittent demands. Operational Research, 1972, 23, 289-304.
7. Curry, B., 'Simple' neural networks for forecasting, Omega, 2004, 32, 97-100.
8. Fabbri, G. and Orsini, R., Reti Neurali per le scienze economiche, 1993 (Franco Muzzio Editore).
9. Fisher, M.L. and Raman, A., Reducing the cost of demand uncertainty through accurate response to early sales. Report No. 92-10-03, 1992 (Harvard University).
10. Forrester, J., Industrial Dynamics, 1961 (MIT Press: Cambridge, MA).
11. Ho, C.J., Examining the impact of demand lumpiness on the lot-sizing performance in MRP systems. International Journal of Production Research, 1995, 33, 2579-2599.
12. Johnston, F.R. and Boylan, J.E., Forecasting for items with intermittent demand. Journal of the Operational Research Society, 1996, 47, 113-121.
13. Kalchschmidt, M. and Verganti, R., Forecasting short term demand in heterogeneous customer oriented demand management processes. Euroma-Poms 2003, Proceeding of Euroma-Poms Conference, pp. 631-640, 2003 (SGE Editioriali).
14. Kekre, S., Morton, T.E. and Smunt, T.L., Forecasting using partially known demands. International Journal of Forecasting, 1990, 6, 115-125.
15. Kumar, M., Patel, N.R. and Woo, J., Clustering seasonality patterns in the presence of errors. ACM International Conference on Knowledge Discovery and Data Mining, 2002, 557-563.
16. Lee, H.L., Padmanabhan, V. and Whang, S., The bullwhip effect in supply chains. Sloan Management Review, 1997, Spring.
17. Makridakis, S., Metaforecasting. International Journal of Forecasting, 1988, 4, 467-491.
18. Makridakis, S., Spyros, G. and Wheelwright, S.C., Forecasting Methods for Management, 5th edn, 1989 (John Wiley: New York).
19. Sanders, N.R. and Ritzman, L.P., The need for contextual and technical knowledge in judgmental forecasting. Journal of Behavioural Decision Making, 1992, 5, 39-52.
20. Syntetos, A.A. and Boylan, J.E., On the bias of intermittent demand estimates. International Journal of Production Economics, 2001, 71, 457-466.
21. Verganti, R., Order overplanning with uncertain lumpy demand: a simplified theory. International Journal of Production Research, 1997, 35, 3229-3248.
22. Wemmerlöv, U. and Whybark, D.C., Lot-sizing under uncertainty in a rolling schedule environment. International Journal of Production Research, 1984, 22, 467-484.
23. Xu, K., Dong, Y. and Evers, P.T., Towards better coordination of the supply chain. Transportation Research Part E, 2001, 37, 35-54.
24. Zotteri, G., Kalchschmidt, M. and Caniato, F., The impact of aggregation level on forecasting performances. International Journal of Production Economics, 2004 93-94C, 479-491.