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Optimal Design of Multiproduct Batch Plants under Imprecise Demand

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MICAI 2008: Advances in Artificial Intelligence (MICAI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5317))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Av. Instituto Tecnológico 852, Col. Emiliano Zapata., 09340, Orizaba, Veracruz, México

    Alberto A. Aguilar-Lasserre, Guillermo Cortes Robles, Blanca E. González Sánchez, Magno A. González Huerta & Oscar Baez Senties

Authors
  1. Alberto A. Aguilar-Lasserre
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  2. Guillermo Cortes Robles
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  3. Blanca E. González Sánchez
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  4. Magno A. González Huerta
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  5. Oscar Baez Senties
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, 07738, Mexico City, México

    Alexander Gelbukh

  2. Ciencias Computacionales, Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro #1 , Sta. María Tonantzintla, 72840, Puebla, México

    Eduardo F. Morales

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Aguilar-Lasserre, A.A., Cortes Robles, G., González Sánchez, B.E., González Huerta, M.A., Baez Senties, O. (2008). Optimal Design of Multiproduct Batch Plants under Imprecise Demand. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_40

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  • DOI: https://doi.org/10.1007/978-3-540-88636-5_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88635-8

  • Online ISBN: 978-3-540-88636-5

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