Multiobjective Multiproduct Batch Plant Design Under Uncertainty A. Dietz,a A. Aguilar-Lasserre,b C. Azzaro-Pantel,b L. Pibouleau,b S. Domenechb Abstract This paper addresses the problem of the optimal design of batch plants with imprecise demands and proposes an alternative treatment of the imprecision by using fuzzy concepts.
Optimal Design of Multiproduct Batch Plants under Imprecise Demand. Share on. Authors: Alberto A. Aguilar-Lasserre. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba., Orizaba, México 09340
Optimal design problem are widely known by their multiple performance measures that are often competing with each other. In this paper, an optimal multiproduct batch chemical plant design is presented. The design is ﬁrstly formulated as a multiobjective
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be able to balance the product demand satisfaction. In the con - ventional optimal design of a multiproduct batch chemical plant , a designer specifies the production requirements for each product and total production time for all products . The number required of volume and size of parallel equipment
Nov 01, 2009 · A generalized disjunctive programming (GDP) model for the optimal design of multiproduct batch plants is presented. This general model manages the duplication of units in series to perform a given operation in the process, which is an alternative that has not been considered in previous general approaches.
This article derives an analytical solution for determining the optimal size of the multiple batch unit plant with storage units. The total cost to be minimized consists of the setup cost of the batch processing units, the inventory holding cost of feedstock/product storage and the capital cost of the batch and storage units. A novel approach, which is called the PSW(Periodic Square Wave
Jul 29, 2017 · We propose a metaheuristics-based approach to the optimal design of multi-product batch plants, with a particular application example of chemical-engineering systems. Our hybrid approach combines two metaheuristics: Ant Colony Optimization (ACO) and Simulated Annealing (SA).
Moreover, comparison with a multi-start steepest descent algorithm shows that a basic TS approach conducts a global search more effectively. As illustrated by three case studies, the new method is well suited for identifying optimal designs of a chemical process to be implemented in an existing multi-purpose batch plant.
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gent (1979) solved the problem of optimal design of sequential multiproduct batch processes as a mixed integer nonlinear programming (MINLP) problem. Barbosa-Pov´ oa and Macchietto (1994) presented a detailed formulation of multipurpose batch plant design and retroﬁt based
Optimal design problem are widely known by their multiple performance measures that are often competing with each other. In this paper, an optimal multiproduct batch chemical plant design is presented. The design is firstly formulated as a multiobjective optimization problem, to be solved using the well suited non dominating sorting genetic algorithm (NSGA-II).
Nevertheless, the design of batch plants requires involving how equipment may be utilized. However you look at it the optimal design of a multiproduct batch chemical process involves the production requirement of each product and the total production time available for all products has been considered.
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.
Oct 27, 2008 · Up to10%cash back · 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.
Recently a review on the design of batch plants was performed by Barbosa-Póvoa (2007) where both the grassroots and the retrofit design problems are analysed for both multi-product and multipurpose plant types, and limitations and gaps are discussed. The three aforementioned frameworks that can be used in optimal design of multipurpose batch
fications involving multiple processing steps in the same pro- cessing plant (Rippin, 1993). In this article, we consider the optimal design of multiproduct batch plants operating in sin- gle-product campaign (SPC) mode under product demand uncertainty. The defining feature of the SPC production mode
The design objective, as stated above, suggests that a batch plant design and expansion policy is sought which establishes an optimal level of product demand satisfac- tion. This optimal level of demand satisfaction is estab- lished by striking the proper balance between profit from sales and …
The problem of retrofit design of multiproduct batch plants is considered in which the optimal addition of equipment to an existing plant must be determined in view of changes in the product demands.
Sep 19, 2011 · Up to10%cash back · In this paper we develop and implement a parallel algorithm for a real-world application: finding optimal designs for multi-product batch plants. We describe two parallelization strategies – for systems with shared-memory and distributed-memory – based on the branch-and-bound paradigm and implement them using OpenMP (Open Multi-Processing) and MPI …
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