Provide a Mechanism for Pollution Reduction and cost control in the Tehran Steel Plant for Improving Industrial Environmental Management

Environmental management in Iran's iron and steel industry must consider multiple targets. The biggest concerns are the realization of environmental goals as well as the smooth development of industry from the government's point of view which is almost inadequate while companies focus most on economic performance metrics such as fixed investment, operating costs, and benefits. Adopting various energy-saving measures and reducing emissions is required to increase costs and at the same time affect innovative performance to varying degrees. Therefore, a multi-objective nonlinear optimization model is presented in this research to solve and cover the problems mentioned so far and also based on the articles reviewed in previous research. As an innovation, this research presents an industrial environmental management mechanism in a steel plant with integrated targets to improve energy consumption, reduce emissions, and reduce costs. The approach of this research is to use the Optimal Multi-Objective Genetic Algorithm (O-MOGA).

Keywords:

Pollution Reduction , Costs Control , Tehran Steel Plant , Industrial Environmental Management , Optimized Multi-Objective Genetic Algorithm (O-MOGA)