Advancing Sustainable Manufacturing through Digital Twin-based Simulation: Assessing and Optimising Processes for Social, Environmental and Economic Impacts

Abstract

Achieving sustainability in manufacturing is not without its challenges. Various studies have identified the need to balance environmental, economic and social considerations as a key obstacle. Meanwhile, there are increasing methods that promote only environmentally friendly products. This study explores the potential of digital twin-based simulation in advancing sustainable manufacturing by assessing and optimising processes for social, environmental, and economic impacts. The study proposes a framework for integrating concepts and theories related to sustainable manufacturing and digital twin-based simulation to support sustainability decision-making. The framework is validated through a case study in a manufacturing facility. The findings of this study demonstrate that digital twin-based simulation can effectively assess and optimise manufacturing processes for their social, environmental, and economic impact. This study contributes to the existing body of knowledge by highlighting the potential of digital twin-based simulation in advancing sustainable manufacturing. The study also emphasises the importance of considering the three sustainability dimensions in manufacturing decision-making processes. Overall, this research offers valuable insights for researchers, practitioners, and policymakers aiming to promote sustainable manufacturing practices.