In the context of increasing environmental regulations and operational volatility, the development of sustainable and resilient supply chains has become a strategic imperative for logistics companies. This study presents a simulation-based methodology for evaluating and optimizing the environmental and economic performance of a real-world supply chain operated by FTP, a transport company active in the Polish market. Using the AnyLogistix platform, a digital twin of the existing logistics network was constructed and analyzed through a series of simulation experiments to assess key performance indicators — including revenue, cost, profit, and CO₂ emissions. The initial analysis revealed a significant environmental footprint, prompting the application of Greenfield Analysis to reconfigure warehouse locations with a focus on minimizing emissions. A follow-up simulation of the redesigned network demonstrated an 18% reduction in both costs and CO₂ emissions, and a 97% increase in profit, with revenue remaining constant. Despite limitations related to data granularity and the use of abstract emission units, the findings confirm the utility of simulation modeling as a decision-support tool for balancing environmental objectives and business performance in supply chain design. The methodology can be further enhanced through integration with real-time data and intelligent optimization techniques
Cherednichenko et al. (Thu,) studied this question.