2016-11-10
Advancements in Demand Forecasting: Methods and Behavior
Publication
Publication
Verbeteringen in het voorspellen van vraag: methoden en gedrag
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.
Additional Metadata | |
---|---|
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. | |
hdl.handle.net/1765/94039 | |
ERIM Ph.D. Series Research in Management | |
Organisation | Erasmus Research Institute of Management |
Pennings, C. (2016, November 10). Advancements in Demand Forecasting: Methods and Behavior (No. EPS-2016-400-LIS). ERIM Ph.D. Series Research in Management. Retrieved from http://hdl.handle.net/1765/94039 |