Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions\nbecomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the\nmost effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development\nbases in industrial production processes. When it comes to the selection of lightweight material for a car body in the\nprocesses of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the\noptimal material from several alternatives. Thus, it can be seen as a multicriterion decision-making (MCDM) problem. However,\nit is difficult to consider both the uncertainty of the expertâ??s preference and the imprecision of the attribute estimate. Considering\nthis, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the\nproblem of lightweight material selection for a car body. The AHP method is used to determine the weight of each attribute, and\nthe GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the\npracticability of the proposed approach. The result shows that the proposed multicriterion decision method provides a precise and\nobjective foundation for making decisions about the material selection issue.
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