A Heuristic Approach for Improvement Batch Plant Design under Imprecise demand using Fuzzy Logics

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Programación Matemática y Software
Universidad Autónoma del Estado de Morelos
Dr.Marco Antonio Cruz Chávez
2007-3283
Volumen 1, Número 1 /Junio de 2009
Artículo de Investigación
1-12
Computación
Martes, 16 de Junio de 2009

Y. El-Hamzaoui ,J.A. Hernandez , A.Bassam.

Centro de Investigación en Ingeniería y Ciencias Aplicadas (CIICAp), Universidad Autónoma del Estado de Morelos (UAEM); Av. Universidad No. 1001, Col Chamilpa, C.P. 62209, Cuernavaca, Morelos, Mexico.

Centro de Investigación en Energía,Universidad Nacional Autónoma de México, Privada Xochicalco s/n, Temixco , Mor. 62580, Mexico.

Recibido: 15 de Marzo de 2008 Aceptado: 28 de Agosto de 2008 Publicado en línea: 26 de junio de 2009

Abstract. This paper deals with the problem of the improvement design of multiproduct batch chemical plants found in chemical engineering with imprecise demand. The objective of the batch plant design problem is to minimize the investment cost and find out the number and size of parallel equipment units in each stage. For this purpose, it is proposed to solve the problem in two differents ways: The first way is by using Monte Carlo Method (MC), the second way is by Genetic Algorithm (GA), that takes into account simultaneously, the imprecise demand using Fuzzy Logics with two criteria maximization of the Net Present Value (NPV) and Flexibility Index (FI). The results (number and size of equipment, investment cost, NPV, FI, Hi, CPU time) obtained by the GA are better than the MC. This methodology can help the decision makers and constitutes very a promising framework for finding a set of “good solutions”.