Today, due to the complexity and involvement of various factors in the discussion of material selection, manufacturers in the field of competition need a strong and scientific tool that identify all the factors influencing the choice of materials, determine the importan
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Today, due to the complexity and involvement of various factors in the discussion of material selection, manufacturers in the field of competition need a strong and scientific tool that identify all the factors influencing the choice of materials, determine the importance these factors and balance them .In this research, we try to present a fuzzy hybrid approach to identify and prioritize the factors influencing the selection of automotive polymeric materials. For this purpose, after reviewing the experimental records by surveying organizational experts and using fuzzy Delphi technique, we identified and screened the factors of competitive advantage affecting the selection of materials and we weighted and prioritized these factors using fuzzy hierarchical analysis technique. Based on the results obtained by fuzzy Delphi technique, five indicators: economic, technical, environmental, social and technology inclusive of 29 related sub-indicators, identified and Sieved. Then we calculated the importance of indices and sub-indices using fuzzy hierarchical analysis technique. The results showed that the highest importance is related to technical and economic indicators and the least importance is related to technology index. In addition,from the economic index Sub-index the market value, From the technical index Sub-index the weight, From the environmental index Sub-index the recyclability, From the social index Sub-index the health and safety and from the technology index Sub-index the current facilities, obtained the highest degree of importance.
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