LCA energy-oriented discrete event simulation: An innovative framework for achieving sustainability in a brewery plant

This study presents the significance of sustainable manufacturing practices and carbon footprints on beer production. The main goal is to create a novel methodology that combines Discrete Event Simulation (DES) with Life Cycle Assessment (LCA) to assess Carbon Footprints (CF) more efficiently. The research uses simulation software to collect site-specific data on resource consumption and emissions throughout the production process. Principal findings demonstrate that the DES-LCA framework significantly improves the precision and pertinence of environmental evaluations by facilitating dynamic analyses that consider particular operational conditions. The integration of these technologies addresses significant issues associated with conventional LCA, including dependence on static models, providing a more flexible instrument for manufacturers. The proposed framework offers quantitative insights into greenhouse gas emissions and assists manufacturers in pinpointing areas for enhancement in sustainability practices. This framework enhances the understanding of environmental impacts, supporting the shift to sustainable production methods in accordance with Industry 4.0 standards. The results highlight the capacity of simulation-based tools to enhance LCA processes, promoting a culture of ongoing improvement in sustainable manufacturing.