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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part L, Journal of Materials: Design and Application >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
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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

机译：用于制造复杂汽车产品的可持续材料，使用新的混合目标编程模型以获得最佳的最佳方法 - 邻近索引值方法

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摘要

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.
机译：选择最合适的可持续材料以满足特定应用中产品的要求是一个复杂的任务。材料选择问题基本上是多标准决策，因为选择最佳材料的选择是基于对冲突标准的评估。考虑到文献中可用的各种多标准决策方法的排名逆转问题等限制，最近开发的技术的组合，即最佳最佳方法和接近索引值方法的目标编程模型，是目前的学习。这种混合方法用于选择最佳的材料，用于制造复杂的汽车部件，其中F1赛车作为先进的汽车及其变速箱壳体作为敏感部分。本研究中考虑的可用替代材料是铝，镁，钛和碳纤维/环氧树脂的合金。然而，影响变速箱壳体性能的标准是拉伸强度/密度，成本，刚度，阻尼能力，导热性和可持续标准，例如CO2排放和再循环能量。最佳最佳方法的目标编程模型用于确定标准的权重，接近索引值方法用于最终选择材料。此外，其他多标准决策方法也支持替代品的排名，即价值范围，加权产品模型，简单的添加剂加权，偏好顺序与理想解决方案的相似性，组合的折衷解决方案以及多重 - 近边界近似区域比较。隶属度法也用于从应用的多标准决策方法的各个结果获得替代材料的最终最佳排名。此外，对敏感性分析进行了验证结果的可靠性，并确定最关键的评估标准。该研究的结果表明，碳纤维/环氧树脂层压材料是最佳替代材料。

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