Integration of Artificial Intelligence and Life Cycle Assessment Methods

Abstract

Artificial Intelligence (AI) techniques support environmental tools based on the growing availability of data and information, aligning the concepts of data modeling and analysis. The Life Cycle Assessment (LCA) is an environmental tool that requires a large volume of data to measure the performance of a product and to simulate the proposed scenarios to improve its performance. This research reviewed studies using AI techniques and their intersection with LCA from data mining. This study identified some AI techniques used in LCA studies. However, there is a lack of LCA literature using AI techniques, despite the benefits of integrated modeling. The results show that different AI algorithms are used to build LCA models. The AI algorithms of the studies act from the identification of the problem to the solution stage, therefore the integration between AI and LCA makes it possible to build predictive models of machine learning to enable assertiveness in decision making.