Description
This is a practitioner based book that provides readers with real proven processes, methodologies, and performance metrics that can be applied immediately with significant improvement in forecast accuracy. It will be filled with real life examples and case studies to illustrate both best-in-class approaches as well as initial start-up approaches.  This new edition provides case studies on why Excel is not a forecasting tool and package to order versus make to order. In addition, alternative methods for creating weights using new SAS Weighted Combined methods. The tentative contents is: (1) Demystifying Forecasting: Myths versus Reality; (2) What Is Demand Driven Forecasting?; (3) Overview of Forecasting Methods; (4) Measuring Forecast Performance; (5) Quantitative Forecasting Methods Using Time Series Data; (6) Quantitative Forecasting Methods Using Causal Data; (7) Weighted Combined Forecasting Methods; (8) Sensing, Shaping, and Linking Demand to Supply: A Case Study Using MTCA; and (9) Strategic Value Assessment: Assessing the Readiness of Your Demand Forecasting Process.
