Environmental Impact Assessment for Manufacturing: Data Requirements for a Simulation-Based Approach

摘要: The environmental footprint of products is an increasingly important measure for companies working to improve their sustainability performance, and the same has also become popular marketing purposes. As a result, demand product declarations and, thus, life cycle assessment (LCA) projects grows. To reap full benefit from LCA studies in production systems analysis, more frequently been complemented with simulation flows (i.e. discrete event simulation) during latest decade. Several examples DES-LCA combination recent literature report substantial potential successful implementations. However, common problem establish efficient credible procedures collecting, analyzing, representing extensive amounts input data required. aim this paper therefore provide recommendations management simulations. A review seven previous provides list parameters experiences on how they should be collected represented models. An result that deterministic representations appear enough not directly linked time. This finding makes it possible replace time-consuming gathering collection secondary public databases.