Author
Büyüközkan, G., Havle, Celal Alpay, Feyzioğlu, O.
Publication Date
2021
Publication Place
-
Springer
Subject
Intuitionistic fuzzy cognitive map, Supply chain, Supply chain risk management, Supply chain risks
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-303085913-8
Record ID
bc2cdb5d-21cf-4428-8144-8fcbddf4abc1
Library Location
Professional Flight Program
Date
2021
Notes
Scientific Research Projects Commission of Galatasaray University
Sample Text
Supply chains (SCs) are network-like structures and gigantic systems. Such systems are complex and multifaceted. Therefore, they contain many components and risk factors that are directly or indirectly related to each other. The importance of SCs, which has always been important for companies, is increasing day by day. Therefore, it is vital to focus on supply chain management (SCM) and the risk factors encountered in this management process. Plus, the investigation of the cause-effect relationships, evaluation, and analysis of these factors hold a critical role for SCM. Accordingly, this study aims to reveal the risk factors that should be considered in SCM and analyze these factors. Moreover, the causal relationships of these risk factors are aimed to be revealed. For this purpose, Cognitive Map (CM) approach is utilized. The classical CM approach is expanded to the intuitionistic fuzzy (IF) environment and used as the IFCM approach to eliminate the uncertainty and intuition involved in real-life problems and decision-making processes. SC risk factors’ importance degrees and causal relations between the factors are displayed and visualized.
DOI
10.1007/978-3-030-85914-5_67
Cilt
634