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Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method

Selection of the most suitable sustainable material to fulfill the requirements of a product in a specific application is a complex task. Material selection problems are basically multi-criteria decision making problems as selection of the optimal material is based on the evaluation of conflicting c...

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Main Authors: Wakeel, Saif, Bingol, Sedat, Bashir, M. Nasir, Ahmad, Shafi
Format: Article
Published: Sage Publications Ltd 2021
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TJ Mechanical engineering and machinery
Online Access:http://eprints.um.edu.my/26639/
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spelling my.um.eprints.266392022-04-01T07:35:39Z http://eprints.um.edu.my/26639/ Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method Wakeel, Saif Bingol, Sedat Bashir, M. Nasir Ahmad, Shafi TJ Mechanical engineering and machinery Selection of the most suitable sustainable material to fulfill the requirements of a product in a specific application is a complex task. Material selection problems are basically multi-criteria decision making problems as selection of the optimal material is based on the evaluation of conflicting criteria. Considering the limitations such as ranking reversal problem of the various multi-criteria decision making methods available in the literature, a combination of two recently developed techniques, i.e. the Goal Programming Model for Best Worst Method and Proximity Indexed Value method, is employed in the present study. This hybrid method was used for selection of the best possible material for manufacturing of a complex automobile part for which F1 race car as advanced automotive and its gearbox casing as sensitive part was used. Available alternative materials considered in the present study are alloys of aluminum, magnesium, titanium, and carbon fiber/epoxy laminate. Whereas, criteria affecting gearbox casing's performance are tensile strength/density, cost, stiffness, damping capacity, thermal conductivity, and sustainable criteria, such as CO2 emission and recycling energy. Goal Programming Model for Best Worst Method is used to determine weights of the criteria and Proximity Indexed Value method is employed for final selection of material. Furthermore, ranking of alternatives was also supported by other multi-criteria decision making methods namely, range of value, weighted product model, simple additive weighting, the technique for order of preference by similarity to ideal solution, a combined compromise solution, and the multi-attributive border approximation area comparison. Membership degree method was also employed to obtain the final optimal ranking of alternative materials from individual results of applied multi-criteria decision making methods. Besides, sensitivity analysis is done to validate reliability of the results and to determine the most critical evaluation criterion. The result of this study revealed that carbon fiber/epoxy laminate is the best alternative material. Sage Publications Ltd 2021-02 Article PeerReviewed Wakeel, Saif and Bingol, Sedat and Bashir, M. Nasir and Ahmad, Shafi (2021) Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method. Proceedings of the Institution of Mechanical Engineers Part L-Journal of Materials-Design and Applications, 235 (2). pp. 385-399. ISSN 1464-4207, DOI https://doi.org/10.1177/1464420720966347 <https://doi.org/10.1177/1464420720966347>. 10.1177/1464420720966347
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Wakeel, Saif
Bingol, Sedat
Bashir, M. Nasir
Ahmad, Shafi
Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
description Selection of the most suitable sustainable material to fulfill the requirements of a product in a specific application is a complex task. Material selection problems are basically multi-criteria decision making problems as selection of the optimal material is based on the evaluation of conflicting criteria. Considering the limitations such as ranking reversal problem of the various multi-criteria decision making methods available in the literature, a combination of two recently developed techniques, i.e. the Goal Programming Model for Best Worst Method and Proximity Indexed Value method, is employed in the present study. This hybrid method was used for selection of the best possible material for manufacturing of a complex automobile part for which F1 race car as advanced automotive and its gearbox casing as sensitive part was used. Available alternative materials considered in the present study are alloys of aluminum, magnesium, titanium, and carbon fiber/epoxy laminate. Whereas, criteria affecting gearbox casing's performance are tensile strength/density, cost, stiffness, damping capacity, thermal conductivity, and sustainable criteria, such as CO2 emission and recycling energy. Goal Programming Model for Best Worst Method is used to determine weights of the criteria and Proximity Indexed Value method is employed for final selection of material. Furthermore, ranking of alternatives was also supported by other multi-criteria decision making methods namely, range of value, weighted product model, simple additive weighting, the technique for order of preference by similarity to ideal solution, a combined compromise solution, and the multi-attributive border approximation area comparison. Membership degree method was also employed to obtain the final optimal ranking of alternative materials from individual results of applied multi-criteria decision making methods. Besides, sensitivity analysis is done to validate reliability of the results and to determine the most critical evaluation criterion. The result of this study revealed that carbon fiber/epoxy laminate is the best alternative material.
format Article
author Wakeel, Saif
Bingol, Sedat
Bashir, M. Nasir
Ahmad, Shafi
author_facet Wakeel, Saif
Bingol, Sedat
Bashir, M. Nasir
Ahmad, Shafi
author_sort Wakeel, Saif
title Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
title_short Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
title_full Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
title_fullStr Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
title_full_unstemmed Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
title_sort selection of sustainable material for the manufacturing of complex automotive products using a new hybrid goal programming model for best worst method-proximity indexed value method
publisher Sage Publications Ltd
publishDate 2021
url http://eprints.um.edu.my/26639/
_version_ 1735409438576082944
score 13.211869

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