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Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications ( IF 2.5 ) Pub Date : 2021-02-20 , DOI: 10.1177/1464420721994269
Aamir AA Rahim 1, 2 , S Numaya Musa 1 , S Ramesh 1, 3 , Ming K Lim 4
Affiliation  

This study presents the development of a fuzzy-TOPSIS multi-criteria decision-making (MCDM) model for material selection with integrated safety, health, and environment risk assessment. As safety, health, and environment is very much linked to sustainable design and manufacturing, it is imperative that safety, health, and environment is taken into consideration in ensuring a comprehensive and holistic material selection process. This paper shows the possibility of fuzzy logic utilization in assessing safety, health, and environment risk and proposed a methodology based on fuzzy-TOPSIS MCDM model for material selection suitable for the manufacturing sector. This method has the capability of producing a ranking result with strong reasonings. The proposed method facilitates the designer to select, evaluate, and rank material alternatives based on given attributes from design requirements and weighting given by the decision-makers. Additionally, the other benefits of the proposed methodology are the elimination of a complex structure and/or a black-box algorithm. The fuzzy-TOPSIS approach capable of considering not only the uncertainty related to qualitative judgments but also the uncertainty that may reside in the measurement of quantitative or qualitative parameters that exist within the safety, health, and environment risks assessment. A numerical example of selecting material for automotive body panels using the proposed method has been discussed.



中文翻译:

结合安全,健康和环境风险评估,开发用于材料选择的模糊TOPSIS多准则决策模型

这项研究提出了用于综合安全,健康和环境风险评估的材料选择的模糊TOPSIS多标准决策(MCDM)模型的开发。由于安全,健康和环境与可持续设计和制造息息相关,因此在确保全面,全面的材料选择过程中必须考虑安全,健康和环境。本文展示了在评估安全,健康和环境风险时利用模糊逻辑的可能性,并提出了一种基于模糊-TOPSIS MCDM模型的方法来选择适合制造业的材料。该方法具有产生具有强烈理由的排名结果的能力。所提出的方法有助于设计人员选择,评估,根据设计要求和决策者的权重,根据给定的属性对材料替代方案进行排名。另外,所提出的方法的其他好处是消除了复杂的结构和/或黑盒算法。Fuzzy-TOPSIS方法不仅可以考虑与定性判断有关的不确定性,而且还可以考虑测量安全性,健康和环境风险评估中存在的定量或定性参数时可能存在的不确定性。讨论了使用所提出的方法为汽车车身面板选择材料的数值示例。所提出的方法的其他好处是消除了复杂的结构和/或黑盒算法。Fuzzy-TOPSIS方法不仅可以考虑与定性判断有关的不确定性,而且还可以考虑测量安全性,健康和环境风险评估中存在的定量或定性参数时可能存在的不确定性。讨论了使用所提出的方法为汽车车身面板选择材料的数值示例。所提出的方法的其他好处是消除了复杂的结构和/或黑盒算法。Fuzzy-TOPSIS方法不仅可以考虑与定性判断有关的不确定性,而且还可以考虑测量安全性,健康和环境风险评估中存在的定量或定性参数时可能存在的不确定性。讨论了使用所提出的方法为汽车车身面板选择材料的数值示例。

更新日期:2021-02-21
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