Publication

Abstract : The combination of Artificial Intelligence (AI) and real time data analytics with the typical Lean Six Sigma (LSS) DMAIC framework is investigated in this chapter as it includes the use of Industry 5.0 principles. As an alternative to more static data analysis, it offers more dynamic, predictive, and prescriptive decision-making procedures that allow these organizations to better optimize their operations. Machine learning and Internet of Things (IoT) are also exciting AI skills by which some problems can be proactively identified to augment operational efficiency and quality in alignment with human-centric, sustainable and resilient manufacturing paradigms. It also presents a new conceptual framework that adds to every phase of the DMAIC cycle and consequently turns this reactive system into a predictive system, supporting the continuous improvement and tackling sustainability, efficiency, and the collaboration challenges. This integration helps firms attain operational excellence in Industry 5.0 by bridge the gaps between new, technology-based methods and conventional processes.