2010
DOI: 10.1002/aic.12477
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Multiobjective optimization of multiproduct batch plants scheduling under environmental and economic concerns

Abstract: In batch process scheduling, production trade-offs arise from the simultaneous\ud consideration of different objectives. Economic goals are expressed in terms of plant profitability and productivity, whereas the environmental objectives are evaluated by means of metrics originated from the use of life cycle assessment methodology. This work illustrates a novel approach for decision making by using multiobjective optimization. In addition, different metrics are proposed to select a possible compromise based on … Show more

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Cited by 32 publications
(22 citation statements)
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“…The solutions were obtained via epsilon constraint method, which tackles multiobjective optimization problems by solving the corresponding series of single objective subproblems, where all objectives but one are transformed into constraints. 33 After the analysis of the results showed in Figure 7, it can be observed that the hybrid configuration was better than the CA cascade for the entire studied safety factor range, from 5.5 to 15. Besides, the hybrid system can compete with the two-stage PA cascade: for SF values higher than 6.08, the economic profit of this PA cascade became lower than the one obtained by the hybrid cascade.…”
Section: Multiobjective Optimization Taking Under Consideration Finalmentioning
confidence: 93%
“…The solutions were obtained via epsilon constraint method, which tackles multiobjective optimization problems by solving the corresponding series of single objective subproblems, where all objectives but one are transformed into constraints. 33 After the analysis of the results showed in Figure 7, it can be observed that the hybrid configuration was better than the CA cascade for the entire studied safety factor range, from 5.5 to 15. Besides, the hybrid system can compete with the two-stage PA cascade: for SF values higher than 6.08, the economic profit of this PA cascade became lower than the one obtained by the hybrid cascade.…”
Section: Multiobjective Optimization Taking Under Consideration Finalmentioning
confidence: 93%
“…Cyclic scheduling problems can be formulated as a mixed-integer linear fractional programming (MILFP) problem by optimizing the productivity, or as a mixed-integer quadratic fractional programming (MIQFP) problem if the objective function involves the trade-off between inventory and setup cost (Chu and You, 2012). Another MIFP application is optimization for sustainability , such as sustainable or environmental-conscious scheduling of batch processes (Capón-García et al, 2010) and the functional-unit based life cycle optimization . The third application field is on the optimization for return rate, such as return on investment (Bradley and Arntzen, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…A general form of MILFP problem is given as the following problem (P): MILFP models are widely applied to address a variety of problems, ranging from manufacturing, cyclic production, life cycle optimization, supply chain retrofit, finance, etc. [2][3][4][5][6][7][8][9][10][11][12][13]. MILFP problems are nonconvex MINLP problems and challenging to globally optimize due to its combinatorial nature and the pseudo-convexity of the objective function [14].…”
Section: Introductionmentioning
confidence: 99%