Fuzzy Cognitive Maps analysis of Green Supply Chain Management: a case study approach

被引：1
|
作者：
Bevilacqua, M. [1 ]
Ciarapica, F. E. [1 ]
Marcucci, G. [1 ]
Mazzuto, G. [1 ]
机构：
[1] Univ Politecn Marche, Dept Ind Engn & Math Sci, I-60131 Ancona, AN, Italy
来源：
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词：
Sustainability; Modelling Social and Environmental Change; Human-centered systems engineering; MODEL; SUSTAINABILITY; COMPLEX;
D O I：
10.1016/j.ifacol.2020.12.2124
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. Copyright (C) 2020 The Authors.
引用
收藏
页码：17481 / 17486
页数：6
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