A Novel Plithogenic MCDM Framework for Evaluating the Performance of IoT Based Supply Chain

The Internet of Things (IoT) is used in 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. Therefore, this paper addresses the ambiguity
of the assessing the performance of the IoT based supply chain by integrating plithogenic set with both
of the Best-Worst method (BWM) and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR)
methods in a decision-making framework tailored for this field. The framework is based on 23 criteria
that measure different aspects of the performance. The performance of the framework is assess
according to plithogenic set theory and neutrosophic set theory using a case study of comparing the
performance of IoT implantation with the SC of five e-commerce companies using three experts. The
case study showed that the proposed framework has more consideration of the contradiction degree of
each criteria to improve the accuracy of the evaluation results