Ranking of fiber reinforced composite materials using PSI and PROMETHEE method
Prabina Kumar Patnaik, Srimant Kumar Mishra, Ande Tara Ashish
Abstract
Prabina Kumar Patnaik, Srimant Kumar Mishra, Ande Tara Ashish
Abstract
Selection of appropriate materials in design of structural or mechanical components in the specific field engineering application is often observed to be a problem of multi-criterion decision-making (MCDM) with conflicting and different objectives. In this investigation, two different methodologies under MCDM approach i.e. Preference selection index (PSI) and Preference ranking organization method for enrichment evaluation (PROMETHEE) are chosen to select suitable composite material for specific engineering design problem using criteria weights for ranking of the alternatives. In this work eight numbers of alternative composites and eight criteria for material selection is used for determining ranking for optimal design. It is observed from this analysis that MCDM approach is quite easy to understand, effortless to execute for assigning rankings to the alternative materials.
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Selection of appropriate materials in design of structural or mechanical components in the specific field engineering application is often observed to be a problem of multi-criterion decision-making (MCDM) with conflicting and different objectives. In this investigation, two different methodologies under MCDM approach i.e. Preference selection index (PSI) and Preference ranking organization method for enrichment evaluation (PROMETHEE) are chosen to select suitable composite material for specific engineering design problem using criteria weights for ranking of the alternatives. In this work eight numbers of alternative composites and eight criteria for material selection is used for determining ranking for optimal design. It is observed from this analysis that MCDM approach is quite easy to understand, effortless to execute for assigning rankings to the alternative materials.
Key concepts: Ranking (information retrieval), Multiple-criteria decision analysis, Selection (genetic algorithm), Preference, Computer science, Rank (graph theory), Material selection, Field (mathematics)