Istanbul Technical University, Istanbul, Turkey.
Faculty of Management, Istanbul Technical University, Istanbul, Turkey.
PLoS One. 2023 Mar 9;18(3):e0282676. doi: 10.1371/journal.pone.0282676. eCollection 2023.
For many different types of businesses, additive manufacturing has great potential for new product and process development in many different types of businesses including automotive industry. On the other hand, there are a variety of additive manufacturing alternatives available today, each with its own unique characteristics, and selecting the most suitable one has become a necessity for relevant bodies. The evaluation of additive manufacturing alternatives can be viewed as an uncertain multi-criteria decision-making (MCDM) problem due to the potential number of criteria and candidates as well as the inherent subjectivity of various decision-experts engaging in the process. Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets that are effective in handling ambiguity and uncertainty in decision-making. This study offers an integrated fuzzy MCDM approach based on Pythagorean fuzzy sets for assessing additive manufacturing alternatives for the automotive industry. Objective significance levels of criteria are determined using the Criteria Importance Through Inter-criteria Correlation (CRITIC) technique, and additive manufacturing alternatives are prioritized using the Evaluation based on Distance from Average Solution (EDAS) method. A sensitivity analysis is performed to examine the variations against varying criterion and decision-maker weights. Moreover, a comparative analysis is conducted to validate the acquired findings.
对于许多不同类型的企业来说，增材制造在许多不同类型的企业（包括汽车行业）的新产品和流程开发方面具有巨大的潜力。另一方面，如今有多种不同的增材制造方法可供选择，每种方法都有其独特的特点，因此选择最合适的方法对于相关机构来说已成为必要。由于潜在的标准和候选者数量以及参与过程的各种决策专家的固有主观性，增材制造方法的评估可以被视为一个不确定的多准则决策（MCDM）问题。相对于直觉模糊集，Pythagorean 模糊集在处理决策中的模糊性和不确定性方面更有效。本研究提出了一种基于 Pythagorean 模糊集的综合模糊 MCDM 方法，用于评估汽车行业的增材制造方法。使用基于标准间相关性的重要性系数（CRITIC）技术确定标准的客观重要性水平，使用基于与平均解的距离的评价（EDAS）方法对增材制造方法进行优先级排序。进行了敏感性分析，以检查在不同标准和决策者权重下的变化。此外，还进行了对比分析以验证所得结果。
