الفهرس 
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Abstract
Supply chain sustainability has become one of the most attractive decision management topics. There are many articles that have focused on this field presenting many different points of view. This research is focused on the evaluation of supply chain sustainability based on economic, environmental, social aspects, and the degree of difficulty of information gathering. This study focused on the evaluation under plithogenic environment using the QFD method.
The Internet of Things (IoT) is used in the Supply chain management (SCM) systems to respond to the globalization of complex and dynamic markets and competitiveness in various supply chain scopes. Despite the current buzz about IoT and its role in the supply chain, there is not enough empirical data or extensive expertise to guide its implementation. Thus, this thesis evaluated the performance of the IoT based supply chain using an integrated multi-criteria decision-making framework. The proposed framework is an integration on the BWM and VIKOR based on the plithogenic set.
Supply chains are affected by pandemics, which disrupt the continuity of their operations and clearly affects their performance. Nowadays, the world lives COVID-19 pandemic, which affects the supply chains. Therefore, in this thesis, we studied the effect of COVID-19 prevention policies on the performance of supply chains in terms of demand, supply, and internal operations. The proposed framework is build using BWM and Technique in order of Preference by Similarity to Ideal Solution (TOPSIS) based on plithogenic set. Plithogenic set provides a more accurate evaluation result that addresses the uncertainty problem. Supply chain aspects were evaluated for the food industry, electronics industry, pharmaceutical industry, and textile industry.