Carnegie Mellon University
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Mixed-integer linear programming feformulations [sic] for batch process design

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journal contribution
posted on 1991-01-01, 00:00 authored by V. T. Voudouris, Ignacio E. Grossmann, Carnegie Mellon University.Engineering Design Research Center.
Abstract: "The objective of this paper is to show that many nonlinear models for batch design, which are based on the assumption of continuous sizes, can be reformulated as MILP problems when sizes are restricted to discrete values. Problems considered include multiproduct plants operating with single product and mixed product campaigns, and multipurpose plants with single and multiple production routes. It is shown that by exploiting the structure of these MILP problems, solutions can be obtained with modest computational effort. In addition, as opposed to the use of rounding schemes for continuous models, global optimum solutions are guaranteed."


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