Optimal Design of Multiproduct Batch Plants under Imprecise Demand

In this study, we have introduced a fuzzy decision-making approach to design a multi-objective optimal design problem of a multiproduct batch chemical plant. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must form an inte...

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Bibliographic Details
Published inMICAI 2008: Advances in Artificial Intelligence pp. 418 - 428
Main Authors Aguilar-Lasserre, Alberto A., Cortes Robles, Guillermo, González Sánchez, Blanca E., González Huerta, Magno A., Baez Senties, Oscar
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Batch Design
Fuzzy Arithmetic
Fuzzy decision-making
Genetic Algorithm
Multi-objective Optimization
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Summary:In this study, we have introduced a fuzzy decision-making approach to design a multi-objective optimal design problem of a multiproduct batch chemical plant. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must form an integral part of the design problem. This work proposes an alternative treatment of the imprecision (demands) by using fuzzy concepts. In this study, we introduce a new approach to the design problem based on a multi-objective genetic algorithm, taking into account simultaneously four criteria, i.e. maximization of the revenue and minimization of the investment cost, the operation cost and the total production time. The genetic algorithm approach was chosen since it is particularly well-suited to take into account the arithmetic of fuzzy numbers.
ISBN:9783540886358
3540886354
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-88636-5_40