A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data

Designing and developing sustainable circular supply chain networks for electric vehicle (EV) lithium-ion battery recycling and production requires complex environmental sustainability and economic viability assessment. EVs use a lot of data for battery management and delivering optimum performance, and the Internet of Things (IoT) plays a major role in managing this data. This study develops a bi-objective mixed-integer linear programming model for designing a sustainable circular supply chain to manage the manufacturing, remanufacturing, and distribution of EV lithium-ion batteries under uncertainty using the IoT and big data. The proposed model simultaneously minimizes total costs and CO2 emissions and uses IoT to improve network performance and create a traceable and secure environment. A fuzzy multi-objective method solves the bi-objective optimization model under uncertainty, and a simulation algorithm examines the effectiveness of the proposed model through simulated problems.