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
Autor: | Sedat Bingöl, M. Nasir Bashir, Saif Wakeel, Shafi Ahmad |
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Přispěvatelé: | Dicle Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü, Bingöl, Sedat |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Automobile parts
Computer science 020209 energy Automotive industry 02 engineering and technology 010501 environmental sciences 01 natural sciences Task (project management) Material selection Goal programming model 0202 electrical engineering electronic engineering information engineering General Materials Science Best worst method Selection (genetic algorithm) 0105 earth and related environmental sciences business.industry Mechanical Engineering Goal Programming Model for Best Worst Method Sustainable material selection Proximity Indexed Value method Industrial engineering Product (business) Value (economics) F1 gearbox casing business Sensitivity analysis Multi-criteria decision making method |
Popis: | 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. |
Databáze: | OpenAIRE |
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