Q-analysis in Materials Selection
The designers often face the problem of choosing the best fitted material for a specific application from a huge array of available alternatives while simultaneously fulfilling all the given design requirements. For dealing with the material selection problems, a systematic and efficient approach is...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Growing Science
2015-01-01
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Series: | Decision Science Letters |
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Online Access: | http://www.growingscience.com/dsl/Vol4/dsl_2014_33.pdf |
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author | Orchi Bhattacharyya Shankar Chakraborty |
author_facet | Orchi Bhattacharyya Shankar Chakraborty |
author_sort | Orchi Bhattacharyya |
collection | DOAJ |
description | The designers often face the problem of choosing the best fitted material for a specific application from a huge array of available alternatives while simultaneously fulfilling all the given design requirements. For dealing with the material selection problems, a systematic and efficient approach is thus necessary. Selection of an optimal material from among various alternatives based on different conflicting subjective as well as objective attributes can be defined as a typical multi-criteria decision-making (MCDM) problem. The material selection problems for diverse engineering applications have already been solved by the past researchers employing different MCDM approaches. In this paper, the feasibility of Q-analysis technique as an MCDM tool is explored for arriving at the most appropriate decision regarding materials selection. Its applicability is demonstrated with the help of four illustrative examples and its capability to provide almost accurate material selection decisions is also validated. |
first_indexed | 2024-04-12T17:39:59Z |
format | Article |
id | doaj.art-d474424f91f44808a1c9f2f521d6a4cc |
institution | Directory Open Access Journal |
issn | 1929-5804 1929-5812 |
language | English |
last_indexed | 2024-04-12T17:39:59Z |
publishDate | 2015-01-01 |
publisher | Growing Science |
record_format | Article |
series | Decision Science Letters |
spelling | doaj.art-d474424f91f44808a1c9f2f521d6a4cc2022-12-22T03:22:50ZengGrowing ScienceDecision Science Letters1929-58041929-58122015-01-0141516210.5267/j.dsl.2014.9.001Q-analysis in Materials SelectionOrchi BhattacharyyaShankar ChakrabortyThe designers often face the problem of choosing the best fitted material for a specific application from a huge array of available alternatives while simultaneously fulfilling all the given design requirements. For dealing with the material selection problems, a systematic and efficient approach is thus necessary. Selection of an optimal material from among various alternatives based on different conflicting subjective as well as objective attributes can be defined as a typical multi-criteria decision-making (MCDM) problem. The material selection problems for diverse engineering applications have already been solved by the past researchers employing different MCDM approaches. In this paper, the feasibility of Q-analysis technique as an MCDM tool is explored for arriving at the most appropriate decision regarding materials selection. Its applicability is demonstrated with the help of four illustrative examples and its capability to provide almost accurate material selection decisions is also validated.http://www.growingscience.com/dsl/Vol4/dsl_2014_33.pdfMaterial selectionMaterial propertiesMulti-criteria decision-makingQ-analysis |
spellingShingle | Orchi Bhattacharyya Shankar Chakraborty Q-analysis in Materials Selection Decision Science Letters Material selection Material properties Multi-criteria decision-making Q-analysis |
title | Q-analysis in Materials Selection |
title_full | Q-analysis in Materials Selection |
title_fullStr | Q-analysis in Materials Selection |
title_full_unstemmed | Q-analysis in Materials Selection |
title_short | Q-analysis in Materials Selection |
title_sort | q analysis in materials selection |
topic | Material selection Material properties Multi-criteria decision-making Q-analysis |
url | http://www.growingscience.com/dsl/Vol4/dsl_2014_33.pdf |
work_keys_str_mv | AT orchibhattacharyya qanalysisinmaterialsselection AT shankarchakraborty qanalysisinmaterialsselection |