Large Language Model-aided Life Cycle Analysis for Circular Bio-manufacturing

Abstract

This paper explores the pivotal role of circular manufacturing methods and tools for biobased materials through an assessment tool built on a large language model (LLM) embedded mobile application. The LLMs, trained on extensive textual datasets, can provide precision and efficiency for the life cycle assessment (LCA) for biobased manufacturing. The tool automates data collection, categorises information from diverse sources, and supports ecological decision-making in material and manufacturing method selection. The research follows a methodology based on three main workflows, including database development, LCA specifications, and the LLM-embedded mobile interface development. Furthermore, the study recognizes the intricacy involved in utilising newly developed materials, especially considering the abundance of available formulations. It questions how the tool adapts to various material and manufacturing options and how it could augment practicality and applicability in real-life design and manufacturing stages. The study demonstrates that the tool offers a comprehensive and critical evaluation of biobased materials for manufacturing towards product development across design domains, unlocking new possibilities at the intersection of ecology, circular design, and digital tools.