Optimal Design of Multiproduct Batch Plants under Imprecise Demand
نویسندگان
چکیده
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.
منابع مشابه
An AHP-based decision-making tool for the solution of multiproduct batch plant design problem under imprecise demand
This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessarily involves the way that equipment may be utilized, which means that plant scheduling and production must form an integral part of the design problem. This work relies on a previous study, which proposed an alternative treatment of the imprecision ...
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