Article ID: | iaor1999229 |
Country: | New Zealand |
Volume: | 2 |
Issue: | 1 |
Start Page Number: | 23 |
End Page Number: | 50 |
Publication Date: | Jan 1998 |
Journal: | Journal of Applied Mathematics & Decision Sciences |
Authors: | Amouzegar Mahyar A. |
Keywords: | artificial intelligence: decision support |
With the passage of the Resource Conservation and Recovery Act (RCRA), and the subsequent amendments to RCRA, efforts to provide tighter controls on the transportation and disposal of hazardous waste have been steadily gaining ground. This paper, intended as a decision support tool for regional planning, incorporates information on the hazardous waste generation, treatment capacity and the costs of waste treatment alternatives into an optimization problem of finding the relationship between governing agency and the toxic waste producing firms. As an example, we consider the problem of regional hazardous waste in the San Francisco Bay Area in Northern California.