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A Multicriteria Decision Framework for the Selection of Biomass Separation Equipment
Author(s) -
Hutahaean Junko,
Cilliers Jan,
Brito-Parada Pablo R.
Publication year - 2018
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201800287
Subject(s) - weighting , pairwise comparison , selection (genetic algorithm) , ranking (information retrieval) , analytic hierarchy process , operations research , process (computing) , computer science , multiple criteria decision analysis , sensitivity (control systems) , separation (statistics) , hierarchy , field (mathematics) , engineering , risk analysis (engineering) , machine learning , mathematics , artificial intelligence , medicine , electronic engineering , economics , pure mathematics , market economy , radiology , operating system
For the first time, a two‐stage decision support framework for equipment selection, applied to biomass separation, is presented. In the first stage, the framework evaluates from a number of equipment based on the process requirements and outputs only those that offer a technically feasible separation. In the second stage, the analytic hierarchy process is applied for performing a multicriteria decision analysis to select amongst the feasible equipment based on separation performance and energy consumption criteria. This approach systematically considers the relative importance of those different alternatives and selection criteria by pairwise comparisons. The output of the framework is an overall ranking of equipment as well as a sensitivity analysis of the results for different weighting of the criteria. These results can be used to equip practitioners in the field of bioseparations with a tool for making more consistent and better‐informed equipment selection decisions.