Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses

Multiple-objective optimization using grey relational analysis (GRA) has found widespread applications especially in manufacturing and machining processes that involve complex processing parameters and output attributes. On the other hand, multiple-objective optimization on the basis of ratio analys...

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Main Authors: Tamrin, K. F., Sheikh, N. A., Rizduan, M. S. M, Nadirah, A. N.
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2018
Subjects:
Online Access:http://ir.unimas.my/20213/
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spelling unimas-202132018-04-30T02:09:51Z http://ir.unimas.my/20213/ Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses Tamrin, K. F. Sheikh, N. A. Rizduan, M. S. M Nadirah, A. N. TJ Mechanical engineering and machinery Multiple-objective optimization using grey relational analysis (GRA) has found widespread applications especially in manufacturing and machining processes that involve complex processing parameters and output attributes. On the other hand, multiple-objective optimization on the basis of ratio analysis (MOORA) is often applied in the fields of construction and economy. One distinctive feature of MOORA is the assessment of relative importance of all responses (i.e. weighting ratio) which are taken into account mathematically while GRA emphasis the need of a priori information for accurate assignment of weighting ratio. This paper compares these two seemingly different methods by considering their applications in laser joining of dissimilar materials classes in a number of case studies: (a) laser joining of polymer and ceramic, (b) laser joining of polymer and stainless steel, and (c) laser joining of polymer and aluminium alloy. The outcomes of the two methods are compared and discussed. In majority of the cases, the predicted top-ranked alternatives were comparably matched. It is concluded that MOORA is more favourable compared to GRA since it eliminates prior assumption concerning the relative importance of the measured responses, which can lead to unnecessary bias. Universiti Teknikal Malaysia Melaka 2018 Article PeerReviewed text en http://ir.unimas.my/20213/1/2018%20Tamrin%20%28abstrak%29.pdf Tamrin, K. F. and Sheikh, N. A. and Rizduan, M. S. M and Nadirah, A. N. (2018) Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10 (1-12). pp. 13-18. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/about
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Sarawak
building UNIMAS Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Tamrin, K. F.
Sheikh, N. A.
Rizduan, M. S. M
Nadirah, A. N.
Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
description Multiple-objective optimization using grey relational analysis (GRA) has found widespread applications especially in manufacturing and machining processes that involve complex processing parameters and output attributes. On the other hand, multiple-objective optimization on the basis of ratio analysis (MOORA) is often applied in the fields of construction and economy. One distinctive feature of MOORA is the assessment of relative importance of all responses (i.e. weighting ratio) which are taken into account mathematically while GRA emphasis the need of a priori information for accurate assignment of weighting ratio. This paper compares these two seemingly different methods by considering their applications in laser joining of dissimilar materials classes in a number of case studies: (a) laser joining of polymer and ceramic, (b) laser joining of polymer and stainless steel, and (c) laser joining of polymer and aluminium alloy. The outcomes of the two methods are compared and discussed. In majority of the cases, the predicted top-ranked alternatives were comparably matched. It is concluded that MOORA is more favourable compared to GRA since it eliminates prior assumption concerning the relative importance of the measured responses, which can lead to unnecessary bias.
format Article
author Tamrin, K. F.
Sheikh, N. A.
Rizduan, M. S. M
Nadirah, A. N.
author_facet Tamrin, K. F.
Sheikh, N. A.
Rizduan, M. S. M
Nadirah, A. N.
author_sort Tamrin, K. F.
title Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
title_short Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
title_full Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
title_fullStr Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
title_full_unstemmed Multiple-Objective Optimization Techniques in Laser Joining of Dissimilar Materials Classes: A Comparison between Grey and Ratio Analyses
title_sort multiple-objective optimization techniques in laser joining of dissimilar materials classes: a comparison between grey and ratio analyses
publisher Universiti Teknikal Malaysia Melaka
publishDate 2018
url http://ir.unimas.my/20213/
http://ir.unimas.my/20213/
http://ir.unimas.my/20213/1/2018%20Tamrin%20%28abstrak%29.pdf
first_indexed 2018-09-06T16:54:30Z
last_indexed 2018-09-06T16:54:30Z
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