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Material Selection of Green Design Processes for Car Body via considering Environment Property

机译:通过考虑环境性质的汽车机身的绿色设计工艺材料选择

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. Thus, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert’s preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. The AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. The result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.
机译:面临严重的环境退化及其气候变暖,如何保护能源和减少排放成为政府监事和现代车辆企业的严重问题。减少车辆的质量是降低排放的最有效的方法之一,提高燃料利用,必不可少,以持续到工业生产过程中的低碳和可持续发展基地。当涉及在车辆生产过程中为汽车体的轻质材料选择时,必须全面评估多种相关属性,以便从几种替代方案中选择最佳材料。因此,它可以被视为多边形决策(MCDM)问题。但是,很难考虑专家偏好的不确定性和属性估计的不确定。考虑到这一点,本文使用与分析层次处理(AHP)集成灰色关系分析(GRA)的方法,以解决车身的轻质材料选择问题。 AHP方法用于确定每个属性的权重,GRA方法是在几种替代方案中选择最佳材料。最后,应用案例研究以验证所提出的方法的实用性。结果表明,所提出的多轨道决策方法为制定材料选择问题做出决策提供了精确和客观的基础。

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