Designing eco-industrial water exchange networks using fuzzy mathematical programming
This paper presents a model for optimizing water and wastewater reuse among several plants contained in an eco-industrial park. Although these plants operate independently of each other, the establishment of an eco-industrial network requires mutual cooperation among the different ?rms. To encourage...
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oai:animorepository.dlsu.edu.ph:faculty_research-20282022-08-11T01:59:30Z Designing eco-industrial water exchange networks using fuzzy mathematical programming Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. This paper presents a model for optimizing water and wastewater reuse among several plants contained in an eco-industrial park. Although these plants operate independently of each other, the establishment of an eco-industrial network requires mutual cooperation among the different ?rms. To encourage cooperation it is necessary to look at how the bene?ts of networking relate to the indi-vidual goals and targets of the participants. This aspect is incorporated in the model through fuzzy mathematical programming, which is utilized to identify the optimal network that satis?es the fuzzy goals of the participating plants. Two case studies from literature are presented to illustrate the methodology. Results show that the solution satisfying individual targets does not necessarily coincide with the optimum for the entire eco-industrial park. © Springer-Verlag 2009. 2010-08-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1029 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2028/type/native/viewcontent Faculty Research Work Animo Repository |
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This paper presents a model for optimizing water and wastewater reuse among several plants contained in an eco-industrial park. Although these plants operate independently of each other, the establishment of an eco-industrial network requires mutual cooperation among the different ?rms. To encourage cooperation it is necessary to look at how the bene?ts of networking relate to the indi-vidual goals and targets of the participants. This aspect is incorporated in the model through fuzzy mathematical programming, which is utilized to identify the optimal network that satis?es the fuzzy goals of the participating plants. Two case studies from literature are presented to illustrate the methodology. Results show that the solution satisfying individual targets does not necessarily coincide with the optimum for the entire eco-industrial park. © Springer-Verlag 2009. |
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Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. |
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Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. Designing eco-industrial water exchange networks using fuzzy mathematical programming |
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Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. |
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Aviso, Kathleen B. |
title |
Designing eco-industrial water exchange networks using fuzzy mathematical programming |
title_short |
Designing eco-industrial water exchange networks using fuzzy mathematical programming |
title_full |
Designing eco-industrial water exchange networks using fuzzy mathematical programming |
title_fullStr |
Designing eco-industrial water exchange networks using fuzzy mathematical programming |
title_full_unstemmed |
Designing eco-industrial water exchange networks using fuzzy mathematical programming |
title_sort |
designing eco-industrial water exchange networks using fuzzy mathematical programming |
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Animo Repository |
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2010 |
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https://animorepository.dlsu.edu.ph/faculty_research/1029 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2028/type/native/viewcontent |
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