The problems associated with forecasting capability and forecasting process management motivate the studies presented here. Instead of an analytical approach based on stylized models, the studies in this thesis analyze and draw conclusions based on empirical data collected from industry. Rather than focusing on a whole supply chain, the scope is restricted to manufacturers, as improvements in the forecasting capability of manufacturers not only benefit their own forecasts, but are most beneficial to the chain as a whole. In the order they are presented, the studies gradually extend the use of information and move toward the actual use of forecasts, incorporating managerial behavior. The issues encountered are generalizable to a wider supply chain setting.

L.G. Kroon (Leo) , H.W.G.M. van Heck (Eric) , J. van Dalen (Jan)
Erasmus University Rotterdam
This research was funded by the Dutch Institute for Advanced Logistics (DINALOG) as part of the 4C4More project.
ERIM Ph.D. Series Research in Management
PhD Series in Research in Management, 400
Erasmus Research Institute of Management

Pennings, C.L.P. (2016, November 10). Advancements in Demand Forecasting: Methods and Behavior (No. EPS-2016-400-LIS). ERIM Ph.D. Series Research in Management. Erasmus University Rotterdam. Retrieved from