An Integrated Fermatean Fuzzy Multi-attribute Evaluation of Digital Technologies for Circular Public Sector Supply Chains

• Published in: International journal of computational intelligence systems 2023-07, Vol.16 (1), p.1-28, Article 122
• Main Authors: Evangelista, Samantha Shane, Aro, Joerabell Lourdes, Selerio, Egberto, Maturan, Fatima, Atibing, Nadine May, Ocampo, Lanndon, Pamucar, Dragan
• Format: Article
• Language: English
• Subjects: Artificial Intelligence; Barriers; Circular supply chain; CODAS; Computational Intelligence; Control; CRITIC; Digital technologies; Engineering; Fermatean fuzzy set; Mathematical Logic and Foundations; Mechatronics; Research Article; Robotics
• ISSN: 1875-6883; 1875-6883
• DOI: 10.1007/s44196-023-00294-7

The barriers to implementing circular supply chains are well explored, but very little is provided to understand how these barriers play in public sector supply chains. Consequently, the role of digital technologies in addressing these barriers in the circularity of supply chains in the public sector remains a gap. Thus, this study bridges these gaps by evaluating digital technologies according to their relevance in addressing the identified barriers. In particular, eight domain experts who have sufficient knowledge and expertise in the domains of the public sector and circular economy were asked to elicit judgments in order to (1) set a threshold that defines the list of barriers that are significant to supply chains in the public sector, (2) obtain the priority weights of these barriers through the criteria importance through intercriteria correlation (CRITIC), and (3) rank the identified digital technologies based on their relevance in addressing the identified barriers in public sector supply chains using combinative distance-based assessment (CODAS) method, all under a Fermatean fuzzy set environment to account for epistemic uncertainties in judgment elicitation processes. This novel integration of the CRITIC and CODAS methods augmented by Fermatean fuzzy sets forms the methodological contribution of this work. Findings show that barriers associated with regulations restricting the collection of wastes, poor demand or acceptance for environmentally superior technologies, lack of expertise, technology, and information, operational risk, immature recycling technologies, and information sharing and communication were considered critical in managing circular public sector supply chains. The analysis also revealed that ripple effect modeling, simulation, and artificial intelligence are the priority digital technologies. These digital technologies offer efficiency and flexibility to decision-makers in analyzing complex and dynamic scenarios before the deployment of any circularity initiative, providing crucial information in its design and implementation. This paper outlines several managerial insights and offers possible agenda for future research.