Designing a sustainable and smart supply chain considering a green computing approach in the post-COVID period

The present research aims to present a mathematical framework for a smart Supply Chain (SC) and Logistics under the inventory management policy by the seller using the Internet of Things (IoT) approach in the period following the COVID-19 pandemic for optimizing and solving the challenges of the traditional SC. Based on the needs, a mathematical two-objective was presented. The first and second objectives are to reduce SC's cost and time. In this model, a four-stage SC is considered, which enables direct communication from suppliers to the production centers, production centers to sellers, and sellers to clients. The nature of this chain is smart, and the layers of the SC utilize the technologies of Wireless Sensor Network (WSN) and Radio-Frequency Identification (RFID), blockchain, and internet sales in the post-COVID. In this research, after validating the model using the LP-metric method with LINGO software for small and medium sizes. The suggested mathematical model for the large dimensions needs to be checked using MATLAB software and the Tunicate Swarm Algorithm (TSA). We briefly describe the highlights of contribution and innovation to our knowledge. In that case, this is the first research that designed a sustainable and smart SC that simultaneously encompasses all the concepts of blockchain, internet sales, IoT (including RFID and WSN), and the post-COVID era. The final result of the research is briefly stated: In the post-COVID-19 era, online sales of goods by sellers, production costs, transportation costs, and consumer demand have significantly increased.