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Sustainability decision support framework for industrial system prioritization
Author(s) -
Ren Jingzheng,
Xu Di,
Cao Huan,
Wei Shun'an,
Dong Lichun,
Goodsite Michael Evan
Publication year - 2016
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15039
Subject(s) - ranking (information retrieval) , sustainability , interdependence , analytic hierarchy process , rank (graph theory) , computer science , fuzzy logic , multiple criteria decision analysis , analytic network process , process (computing) , prioritization , decision support system , preference , operations research , management science , data mining , engineering , machine learning , mathematics , artificial intelligence , ecology , biology , statistics , combinatorics , political science , law , operating system
A multicriteria decision‐making methodology for the sustainability prioritization of industrial systems is proposed. The methodology incorporates a fuzzy Analytic Hierarchy Process method that allows the users to assess the soft criteria using linguistic terms. A fuzzy Analytic Network Process method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The Preference Ranking Organization Method for Enrichment Evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches were demonstrated by comparing the results determined by the proposed framework with those determined using the pervious approaches. © 2015 American Institute of Chemical Engineers AIChE J, 62: 108–130, 2016