Understanding Markov Chains in Manufacturing

This chapter explores the fundamentals and applications of Markov chains in modeling processes influenced by random events, particularly in a manufacturing context. It emphasizes the significance of data organization and quality in predictive analytics while discussing the efforts of a team focused on optimizing lens production through Industry 4.0 advancements. The dialogue also highlights the crucial role of data as an asset and the vision for a closed-loop quality control system to enhance production efficiency.