Smart Systems Risk Management in IoT-Based Supply Chain

Abstract

The Internet of Things (IoT) offers a modern solution in which the boundaries between real and digital realms are gradually blurred by the continuous transformation of each physical device into a smart object. Each of these intelligent objects plays a role in different realms of life, but at the same time leads to new challenges. In order to develop industries and make them smarter using transformational technologies, there are risks that slow down or prevent progress. As the risk increases in the processes, the task of managing and controlling the project becomes more difficult. Many of the failures that occur in business processes are due to risk and instability in the environment and within the supply chain structure. Therefore, a comprehensive quantitative relationship that can measure supply chain risk and take into account all dimensions of risk has not yet been proposed. IoT-based intelligent supply chains have always been studied as one of the high-risk sectors due to the presence of the Internet and network and huge data flow. This study examines and prioritizes the risk of implementing smart systems in IoT-based supply chains that have been prioritized using a nonlinear fuzzy approach. The results show that lack of knowledge and lack of maintenance of technical infrastructure is one of the most important risk factors in smart food chains, and for sustainable and efficient development, special attention should be paid to the risks resulting from these deficiencies.