Multiobjective optimization of multiproduct batch plants scheduling under environmental and economic concerns

In batch process scheduling, production trade‐offs arise from the simultaneous 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...

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Bibliographic Details
Published in:AIChE journal 2011-10, Vol.57 (10), p.2766-2782
Main Authors: Capón-García, Elisabet, Bojarski, Aarón D., Espuña, Antonio, Puigjaner, Luis
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Decision making
Economia i organització d'empreses
Economics
Economics. Management. Design assessment
Exact sciences and technology
Gestió de la qualitat
LCA
Life cycle assessment
Life cycle engineering
Management
Multiobjective optimization
multiproduct batch scheduling
Multiproduct firms
Optimization
Producció
Product changeover
Production scheduling
Productivity
Profitability
Scheduling
Sistemes
Tradeoffs
Àrees temàtiques de la UPC
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Summary:In batch process scheduling, production trade‐offs arise from the simultaneous 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 the distance to a nonexistent utopian solution, whose objective function values are all optimal. Thus, this work provides a deeper insight into the influence of the metrics selection for both environmental and economic issues while considering the trade‐offs of adopting a particular schedule. The use of this approach is illustrated through its application to a case study related to a multiproduct acrylic fiber production plant, special attention is put to the influence of product changeovers. © 2010 American Institute of Chemical Engineers AIChE J, 57: 2766–2782, 2010
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.12477