Carnegie Mellon University
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A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis

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journal contribution
posted on 2013-10-01, 00:00 authored by Nancy Medina-Herrera, Arturo Jimenez-Gutierrez, Ignacio E. Grossmann

Safety and performance are important factors in the design and operation of chemical plants. This paper describes the formulation of a mixed integer nonlinear programming model for the optimization of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety into account, and a bowtie analysis is used to identify possible catastrophic outcomes. These effects are quantified through consequence analyses and probit models. The model allows the location of facilities at any available point, an advantage over grid-based models. Two case studies are solved to show the applicability of the proposed approach.


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