Optimal Design of Multiproduct Batch Plants under Imprecise Demand

  • Authors:

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

  • Affiliations:

  • Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340;Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340;Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340;Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340;Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340

  • Venue:
  • MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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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.