INSPECTION OPTIMIZATION MODEL

In this paper we describe a quantitative, linear programming (LP) base d, resource allocation model designed for a state air pollution contro l inspections program. The model is called the ''Inspection Optimizati on Model'' (IOM) and was the result of a joint project between the Sta tionary Source Compliance Division and Statistical Policy Branch of th e United States Environmental Protection Agency (EPA). After several t est runs and demonstrations that used real data, EPA decision makers a greed 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 resou rces. It was envisioned that both the state and EPA would use the mode l, secondarily, as an oversight evaluation mechanism to compare actual performance and predicted inspection effectiveness.