Increasing competition, emphasizing efficiency, reduce costs and satisfied consumer demand brought new challenges for companies in the global market, especially in the area of environmental sustainability and socially responsible corporate behavior. Enterprises and supply chains extend the existing globalization, while free trade may lead to an increase in global pollution. We have demonstrated a theoretical framework for modeling, analyzing and computing solutions global supply chain network with the included social responsibility of enterprises. Model multiple criteria decision making behavior of the various decision-making involves the maximization of net profit, minimization of emissions (waste) and minimizing risk in the presence of both transactions business-business and business-consumer. We hypothesized that weight-related goals are not the same for all objectives. That is, we applied weights to penalize emissions and risks, which are variable and depend on the objective function value of emissions and risks associated with each manufacturer and trader. We have shown that corporate social responsibility can potentially reduce the inefficiency of the network, reduce the cost of risk at the same time allow enterprises increase sales. The developed model is a tool for decision potential stakeholders who will be able to see the model in the current market situation and to explore and investigate the effects of various changes to the data, a variety of strategies to protect the environment and the effects of changes in the number of producers, traders, market demand, and currency. Sure, every decision-maker can use this model to determine what should be its optimal level of investment in corporate social responsibility and to reduce the potential risk and environmental impact.