In this paper we describe a quantitative, linear programming based, resource allocation model designed for a state air pollution control inspections program.
The model is called the « Inspection Optimization Model » (IOM) and was the rsult of a joint project between the Stationary Source Compliance Division and Statistical Policy Branch of the United States Environmental Protection Agency (EPA).
After several test runs and demonstrations that used real data, EPA decision makers agreed that the model would be mutually beneficial to both the EPA and state agency decision makers.
Consequently, the model was accepted by EPA for pilot implementation in a test state.
The model's primary role at the state level was seen as a planning tool for distributing resources.
It was envisioned that both the state and EPA would use the model, secondarily, as an oversight evaluation mechanism to compare actual performance and predicted inspection effectiveness.
Mots-clés Pascal : Pollution air, Analyse risque, Modèle, Etats Unis
Mots-clés Pascal anglais : Air pollution, Risk analysis, Models, United States
Notice produite par :
ENSP - Ecole nationale de la santé publique (devenue EHESP)
Cote : 94/09 V
Code Inist : 002B30A02A. Création : 09/06/1995.