Purpose

Due to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.

Design/methodology/approach

This paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.

Findings

The outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.

Originality/value

Selecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

中文翻译：

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使用毕达哥拉斯模糊 EDAS 方法在制造业中可持续的循环供应商选择和评估

目的

由于严格的管理政策和社区关注度的提高，可持续供应链管理 (SSCM) 在努力运营和生产管理中发挥着重要作用。可持续循环供应商选择 (SCSS) 和评估提出了循环经济和可持续供应商选择领域的环境和社会问题。如各种研究中所述，选择最佳 SCSS 对于组织说服 SSCM 至关重要。基于人类行为的主观性，理想SCSS的选择往往涉及到不确定信息，而毕达哥拉斯模糊集（PFS）在多准则决策（MCDM）过程中具有强大的处理模糊性、不确定性和不准确性的能力。 . 这里，

设计/方法/方法

本文介绍了一个使用基于平均解距离评估（EDAS）和 PFS 的扩展框架，并将其用于解决制造业中的 SCSS。首先，采用 PFS 来处理决策专家 (DE) 的不确定信息。其次，提出了一种新的散度度量和参数评分函数来计算标准权重。第三，引入了一种扩展的决策方法，称为 PF-EDAS。

发现

结果和比较讨论表明，所开发的方法是有效的，能够促进 DEs 选择理想的 SCSS。因此，组织可以使用建议的框架来评估和建立循环经济中 SCSS 流程中的合适供应商。

原创性/价值

正如各种研究中所指出的那样，在制造业中选择最佳的可持续循环供应商 (SCS) 对于组织说服 SSCM 非常重要。然而，与人类行为的主观性相对应，最佳 SCS 的选择往往涉及不确定信息，而 PFS 具有巨大的能力来应对 MCDM 过程中的强模糊性、不确定性和不准确性。因此，制造公司的管理者可以实施所开发的方法，在循环经济的 SCSS 过程中评估和建立合适的供应商。