Article ID: | iaor2009477 |
Country: | United Kingdom |
Volume: | 36 |
Issue: | 1 |
Start Page Number: | 22 |
End Page Number: | 32 |
Publication Date: | Feb 2008 |
Journal: | OMEGA |
Authors: | Regnier Eva |
Keywords: | decision: studies, programming: dynamic, programming: probabilistic, practice |
Recent developments in weather forecasting have created the potential for the operations research and management science (OR/MS) community to have a tremendous impact in distilling weather information into valuable decision tools. Weather-sensitive applications include transport, electric utilities, agriculture, and public emergency management. This article surveys existing research and practice using OR/MS tools to integrate weather forecasts in decision-making. Because the conditions that created the potential for OR/MS contributions – in particular an explosion in the amount of relevant forecast data – are quite recent, the amount of existing OR/MS work is modest.