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Materials selection using COPRAS and COPRAS-G methods

Authors: Prasenjit Chatterjee; Shankar Chakraborty;

Materials selection using COPRAS and COPRAS-G methods

Abstract

Material selection plays an important role for cost-effective manufacturing of products leading to quality production and better utilisation of resources. Improper material selection may cause premature product failure. From a wide range of materials available in market, selection of the best material for a particular application is not an easy task. While selecting material, the designers need to take into account a large number of material selection criteria. Because of these reasons, material selection has got considerable attention by the academicians and researchers. This paper attempts to solve the material selection problems using complex proportional assessment (COPRAS) and complex proportional assessment with grey number (COPRAS-G) methods while considering different material selection criteria and their relative importance. The rankings obtained using these two methods almost corroborate with those derived by the past researchers. Two real time examples are illustrated to demonstrate the potenti...

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    18
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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