On the variance of intermittent demand estimates

International Journal of Production Economics

Volumn 128, Issue 2, 2010, Pages 546-555

  Syntetos, Aris A ^a,c   Boylan, John E ^b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b BUCKINGHAMSHIRE NEW UNIVERSITY   (United Kingdom)

^c KEDGE BUSINESS SCHOOL   (France)

Author keywords

Forecasting; Intermittent demand; Inventory management; Supply chain management

Indexed keywords

DEMAND PATTERN; DUAL SOURCE; INTERMITTENT DEMAND; INVENTORY COSTS; INVENTORY MANAGEMENT; NEW RESULTS; SAMPLING ERRORS; SERVICE LEVELS; SUPPLY-CHAIN SOFTWARE; TIME-PERIODS;

FORECASTING; INVENTORY CONTROL; SUPPLY CHAINS;

SUPPLY CHAIN MANAGEMENT;

EID: 78049254818     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2010.07.005     Document Type: Article

References (21)

1. J.E. Boylan, and A.A. Syntetos The accuracy of a modified Croston procedure International Journal of Production Economics 107 2007 511 517
2. F. Chen, Z. Drezner, J.K. Ryan, and D. Simchi-Levi Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information Management Science 46 2000 436 443
3. F. Chen, J.K. Ryan, and D. Simchi-Levi The impact of exponential smoothing forecasts on the bullwhip effect Naval Research Logistics 47 2000 269 286
4. J.D. Croston Forecasting and stock control for intermittent demand Operational Research Quarterly 23 1972 289 303
5. R. Fildes, K. Nikolopoulos, S. Crone, and A.A. Syntetos Forecasting and operational research: a review Journal of the Operational Research Society 59 2008 1150 1172
6. J.W. Forrester Industrial dynamicsa major breakthrough for decision makers Harvard Business Review 36 1958 37 66
7. F.R. Johnston, J.E. Boylan, and E.A. Shale An examination of the size of orders from customers, their characterisation and the implications for inventory control of slow moving items Journal of the Operational Research Society 54 2003 833 837
8. H.L. Lee, V. Padmanabhan, and S. Whang Information distortion in a supply chain: the Bullwhip effect Management Science 43 1997 546 558
9. H.L. Lee, K.C. So, and C.S. Tang The value of information sharing in a two-level supply chain Management Science 46 2000 626 643
10. E. Levn, and A. Segerstedt Inventory control with a modified Croston procedure and Erlang distribution International Journal of Production Economics 90 2004 361 367
11. A.V. Rao A comment on: forecasting and stock control for intermittent demands Operational Research Quarterly 24 1973 639 640
12. L.W.G. Strijbosch, R.M.J. Heuts, and E.H.M. van der Schoot A combined forecast-inventory control procedure for spare parts Journal of the Operational Research Society 51 2000 1184 1192
13. A. Stuart, and J.K. Ord Kendall's Advanced Theory of Statistics, vol. 1: Distribution Theory 6th ed 1994 Edward Arnold London
14. Syntetos, A.A., 2001. Forecasting of intermittent demand. Unpublished Ph.D. Thesis, Brunel University of Buckinghamshire New University, UK.
15. A.A. Syntetos, and J.E. Boylan On the bias of intermittent demand estimates International Journal of Production Economics 71 2001 457 466
16. A.A. Syntetos, and J.E. Boylan The accuracy of intermittent demand estimates International Journal of Forecasting 21 2005 303 314
17. A.A. Syntetos, and J.E. Boylan Demand forecasting adjustments for service-level achievement IMA Journal of Management Mathematics 19 2008 175 192
18. A.A. Syntetos, J.E. Boylan, and J.D. Croston On the categorisation of demand patterns Journal of the Operational Research Society 56 2005 495 503
19. A.A. Syntetos, J.E. Boylan, and J.D. Croston A note on the categorisation of demand patterns Journal of the Operational Research Society 57 2006 1257 1258
20. A.A. Syntetos, J.E. Boylan, and S.M. Disney Forecasting for inventory planning: a 50-year review Journal of the Operational Research Society 60 2009 S149 S160
21. R. Teunter, and B. Sani On the bias of Croston's forecasting method European Journal of Operational Research 194 2009 177 183