INVESTIGATING THE INTERNET-OF-THINGS (IOT) RISKS FOR SUPPLY CHAIN MANAGEMENT USING Q-RUNG ORTHOPAIR FUZZY-SWARA-ARAS FRAMEWORK

Modern “Supply Chains (SCs)” have recently been introduced as value networks of high complexity, and firms focused on its efficiency an important support for staying competitive in the market. Firms are currently capable observing, tracking, monitoring their products, activities, processes throughout chain using new technologies, namely “Internet Things (IoT)”. Though, influencing factors IoT highly complex diverse, which result information-intensiveness SCs processes. This, turn, leads to lots barriers SCs. In this paper, we evaluate rank risks Chain Management (SCM)” by utilizing “Stepwise Weight Assessment Ratio Analysis (SWARA)” “Additive (ARAS)” under “q-Rung Orthopair Fuzzy Sets (q-ROFSs)”. A case study is presented investigating SCM q-ROFSs setting. Moreover, obtained results were compared those some methods used literature. The outcomes show that security privacy with a weight 0.0572 main risk factor organization-I utility degree 0.8208 best option diverse SCM.