The natural dispersion of supply chain (SC) elements and the distribution of knowledge within these elements have necessitated an integrated knowledge management (KM) process in the SC. The use of KM poses many challenges for the members of the SC, and the key to the survival of the SC lies in identifying and solving these challenges. For this reason, this paper aims to appraise the challenges of knowledge adoption in the steel SC and proposes solutions to address these challenges. To determine the significance of challenges in the SC and rank the effective knowledge adoption solutions to address these challenges, a new method called Comprehensive CoCoSo (CoCoCoSo) is introduced based on the CoCoSo method. This method consists of three parts: weighting the challenges, weighting the experts, and ranking the solutions, respectively. In the first part, a new process for weighting the challenges based on CoCoSo is presented; in the second part, the CoCoSo method is enhanced by the ideal average concept for weighting the experts, and finally, a new prescription of CoCoSo is introduced in the ranking part of the knowledge adoption solutions. Also, type-2 fuzzy sets (T2FSs) are used to consider the uncertainty in experts' opinions. T2FSs are much stronger compared to classical fuzzy sets because they have fuzzy membership degrees and prepare more degrees of freedom to consider uncertainty. Then, the challenges in the steel SC are determined using experts' opinions, and then the importance of these challenges is assessed. Furthermore, solutions to face these challenges are outlined, and then using the CoCoCoSo method, the efficiency of solutions to solve the challenges is evaluated and ranked according to their efficiency. Among the proposed solutions, affirmative leadership for KM adoption in SC and creating reliable teamwork have been identified as the most effective solutions. Also, sensitivity analysis shows that the proposed method is sensitive to the weight of the challenges. Finally, the validity of the proposed method has been confirmed by comparing it with well-known methods in the literature. Additionally, using the different degree index, the superiority of the proposed method over well-known methods in the literature has been determined.

中文翻译：

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供应链中的集成知识管理：不确定性下通过综合CoCoSo方法评估知识采用解决方案

供应链（SC）要素的自然分散以及这些要素内的知识分布使得供应链中的集成知识管理（KM）流程成为必要。知识管理的使用给SC成员带来了许多挑战，而SC生存的关键在于识别和解决这些挑战。因此，本文旨在评估钢铁供应链中知识采用的挑战，并提出应对这些挑战的解决方案。为了确定SC中挑战的重要性并对应对这些挑战的有效知识采用解决方案进行排序，在CoCoSo方法的基础上引入了一种称为综合CoCoSo（CoCoCoSo）的新方法。该方法由三部分组成：分别对挑战进行加权、对专家进行加权以及对解决方案进行排名。第一部分提出了一种基于CoCoSo的挑战权重新流程；在第二部分中，通过对专家进行加权的理想平均概念来增强CoCoSo方法，最后，在知识采用解决方案的排名部分中引入CoCoSo的新处方。此外，2 型模糊集（T2FS）用于考虑专家意见的不确定性。 T2FS 比经典模糊集要强大得多，因为它们具有模糊隶属度并准备更多的自由度来考虑不确定性。然后，根据专家的意见确定钢铁供应链中的挑战，然后评估这些挑战的重要性。此外，概述了面对这些挑战的解决方案，然后使用CoCoCoSo方法，评估解决方案解决挑战的效率并根据其效率进行排名。在提出的解决方案中，在 SC 中采用知识管理的积极领导和创建可靠的团队合作已被确定为最有效的解决方案。此外，敏感性分析表明，所提出的方法对挑战的权重敏感。最后，通过与文献中已知方法的比较，证实了所提出方法的有效性。此外，使用不同程度指数，确定了所提出的方法相对于文献中众所周知的方法的优越性。