Advancing Manufacturing Efficiency: Multi-Objective Optimization in the Industry 5.0 Era

This paper explores the transition to Industry 5.0, highlighting its focus on sustainable, human-centred and resilient industrial progress. In this new era, the integration of advanced technology with human expertise is crucial, emphasising the importance of balancing efficiency, cost, quality, and sustainability. At the heart of this research is Multi- Objective Optimisation (MOO), which is used to ad- dress the complex challenges of modern manufactur- ing systems. We propose an innovative approach that combines mathematical modelling with swarm intelli- gence to tackle complex optimisation problems. A de- tailed Multi-Objective Mixed Integer Linear Program- ming (MILP) model is developed and its effectiveness is demonstrated through the application of Multi- Objective Particle Swarm Optimisation (MOPSO). The study compares the performance of MOPSO with traditional optimisation methods using synthetic data analysis. The results not only demonstrate the potential of MOPSO in modern manufacturing, but also set the stage for future research to integrate human ergonomics into the optimization framework, thereby contributing to the holistic advancement of Industry 5.0.