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Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.

Material selection is one of the most vital decisions in finest design of any manufacturing process and product. Proper material selection plays an elementary role for a productive manufacturing system with better product and process superiority along with cost optimization. Improper material selection often causes huge cost contribution and drives an organization towards unripe product failure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve magnesium alloy material selection problem to use in automotive wheel applications. A comprehensive list of all the prospective materials from the best to the worst is obtained, taking into account multi-conflicting material selection attributes. The ranking performance of the method is also compared with that of the past researchers. It is observed that the method is very simple to understand, easy to implement and provide almost exact rankings to the automotive wheel material alternative.