Nowadays, environmental issues are considered as the most important factor for competition. In this era, just modern companies can compete with each other and any environment friendly firm plays essential role in gaining more market share. Besides, the 21st century is the era of modern steel and Iranian iron steel industry plays important role in the domestic and international trade only through emphasizing on protection of environment. Therefore, designing a model for strengthening the environmental performance in steel industries is necessary to get some advantages such as energy saving, reducing pollutants, eliminating (declining) of waste, creating value for customers and improving the productivity. In this research, first, we explain green supply chain management and then grey-based DEMATEL Technique is used to identify different factors influencing the green supply chain. Eventually, the green supply chain model (GSCM) is applied for the steel industry. The result determines the most prominence factors of GSCM in Yazd Steel Industry.
In recent decades, provision-chain management has been one of the major concepts. The main reason that attracts attention to the concept is the increase in competition and struggle for the survival. There are different ways to increase the competition in organizations such as increasing productivity by acquiring information technology. In this paper, we present an integrated model with the balanced score card framework for supplier selection strategy. The proposed model of this paper gathers 161 important factors suggested in the literature and selects the six most important ones using different multi criteria techniques. We also propose a goal programming techniques with some hard constraints and implement the mathematical model for real-world case study of auto industry. The proposed model is solved in four different forms using TOPSIS, VIKOR and the combination of these 2 factors with factor analysis. The preliminary results indicate that a combination of VIKOR and factor analysis presented better results with 9% reduction in costs, 38% increase of quality, and 3.2% increase in acceptability.