Fuzzy Cognitive Maps analysis of Green Supply Chain Management: a case study approach. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Bevilacqua, M.; Ciarapica, F.E.; Marcucci, G.; Mazzuto, G.
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 17481
• Page End: 17486
• Publication Date: 2020
• Subjects: Sustainability -- Modelling Social -- Environmental Change -- Human-centered systems engineering; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2124
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The Green Supply Chain has proposed to innovate industrial production by implementing a radical perspective change: reconcile economy and ecology. This study aims to contribute to the realisation of a new idea of eco-sustainable industrialisation. Anyone making decisions within any dynamic system faces serious difficulties. For this reason, the proposed study analyses this system using Fuzzy Cognitive Maps arriving at the formation of a real map of the causal relationships between the concepts identified, then divided by areas of membership. In doing so, the most relevant factors affecting the Green Supply Chain decision-making process have been identified and analysed.