pythagorean fuzzy entropy

In order to achieve a competitive advantage in today’s global market, supply chains play a crucial role in various industries. Understanding maturity and its characteristics can lead to higher levels of performance for companies active in the supply chain. To measure and evaluate supply chains, a wide range of maturity models have been presented. By analyzing the current situation in the chain, evaluating it, and providing guidance in developing an improvement roadmap, it is possible to achieve higher levels of maturity. The purpose of this research is to provide a comprehensive analysis of supply chain maturity models from 1989 to 2023. To achieve this goal, a qualitative meta-synthesis approach has been used. The results of the     research show that most maturity models have been proposed in terms of supply chain, supply chain     management, integrated supply chain, demand-oriented supply chain, and cooperative supply chain. Their maturity levels include: unstructured, basic, defined, managed, integrated, and developed. The main areas that supply chain maturity models focus on include strategy, planning, sourcing, manufacturing, delivery, logistics, information flow, material flow, performance evaluation systems, and relationship management with customers, employees, supply chain processes, organizational structure, coordination in the supply chain, management support, empowerment, flexibility in the chain, communication, production and        operations, culture, sustainability, innovation, and risk. In this research, an attempt has been made to     prioritize different areas of the supply chain using a new approach, Pythagorean fuzzy entropy, by           surveying 12 experts who were selected using the snowball method.