Correcting Heterogeneous and Biased Forecast Error at Intel for Supply Chain Optimization

References

• Bartlett M. S., Kendall D. G. The statistical analysis of variance-heterogeneity and the logarithmic transformation. J. Royal Statist. Soc. Supplement (1946) 8(1):128–138Crossref, Google Scholar
• Bowman A., Azzalini A.Applied Smoothing Techniques for Data Analysis (1997) (Oxford University Press, Oxford, UK) Google Scholar
• Bowman A., Foster P. Density based exploration of bivariate data. Statist. Comput. (1993) 3(4):171–177Crossref, Google Scholar
• Brown M. B., Forsythe A. B. Robust tests for the equality of variances. J. Amer. Statist. Assoc. (1974) 69(346):364–367Crossref, Google Scholar
• Crum C., Palmatier G. E.Demand Management Best Practices: Process, Principles and Collaboration (2003) (J. Ross Publishing, Boca Raton, FL) Google Scholar
• Franses P. H.Time Series Models for Business and Economic Forecasting (1998) (Cambridge University Press, Cambridge, UK) Google Scholar
• Levene H., Olkin I. Robust tests for the equality of variances. Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling (1960) (Stanford University Press, Palo Alto, CA) 278–292Google Scholar
• Manary M. P., Willems S. P. Setting safety-stock targets at Intel in the presence of forecast bias. Interfaces (2008) 38(2):112–122Link, Google Scholar
• Montgomery D. C., Johnson L. A., Gardiner J. S.Forecasting and Time Series Analysis (1990) 2nd ed.(McGraw-Hill Companies, New York) Google Scholar
• O'Brien R. G. A general ANOVA method for robust tests of additive models for variances. J. Amer. Statist. Assoc. (1979) 74(368):877–880Crossref, Google Scholar