Generic Bills-of-Materials-Operations-Sustainability (GBOMOS) for Reconfigurable Green Manufacturing: A Cognitive Intelligent Reasoning Pilot through Retrieval Augmented Generation (RAG)

Abstract

Green manufacturing extends traditional manufacturing planning from the cost or utilization dimension to incorporating sustainability assessment. Product variety and planning of process reconfigurations are critical in green manufacturing sustainability assessment because different manufacturing processes have varying environmental impacts. It is imperative to incorporate sustainability assessment cohesively with process planning to optimize resources and select the right processes that ensure minimal waste and efficient material utilization while meeting sustainability goals. This paper proposes a generic bills-of-materials-operations-sustainability (GBOMOS) data model for integrating product, process and sustainability configuration into a unified framework. Adopting a cognitive intelligent reasoning approach using Large Language Models (LLMs) and knowledge graphs, the paper implements a pilot system of integrated product, process and sustainability configuration to support cognitive intelligent reasoning for domain applications of LCA assessment.