Akademik Veri Yönetim Sistemi
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, İstanbul, Türkiye, 22 - 24 Ağustos 2023, cilt.759 LNNS, ss.480-487, (Tam Metin Bildiri)
The growing complexity of supply chains is attributed to a range of factors, including globalization, competitive conditions, growing relationships among supply chain partners, and evolving technology. This phenomenon is associated with increased uncertainties and new risks that adversely affect many firms. Therefore, identifying, assessing, and managing these risks is essential for establishing a profitable, competitive, and sustainable supply chain over the long term. Supply chain risk management (SCRM) has emerged as a critical area of inquiry and practice for managing these risks. The primary objective of this study is to develop a model that predicts supply chain risks. To achieve this objective, the study commences with a comprehensive literature review to identify relevant articles related to the topic of interest. Based on the document coding rules using the identified articles, variables were determined. The identified variables were subsequently transformed into linguistic variables and triangular membership functions using a fuzzy set approach. An intuitionistic fuzzy cognitive map was created using the adjacency matrix obtained from the normalization process. Furthermore, scenario analyses were conducted to identify measures. The resulting model provides a comprehensive framework for predicting supply chain risks and identifying measures to mitigate them. This study advances the state of the art in SCRM research and practice.