Maximising manufacturing productivity requires a clear understanding of how effectively equipment is being utilised, and this is where Overall Equipment Effectiveness (OEE) plays a vital role. This infographic provides an in-depth look at how OEE, combined with Manufacturing Execution System (MES) tracking, enables data-driven optimization of machines, processes, and overall production performance. By integrating real-time data collection from sensors and systems, MES platforms provide visibility into operations, while OEE translates this data into a single, powerful KPI that reflects availability, performance, and quality. Together, they create a continuous feedback loop that helps identify inefficiencies, reduce downtime, and improve output quality. The infographic also highlights the “six big losses” that commonly impact equipment effectiveness and explains how organizations can systematically address them. With a strong foundation in data and analytics, manufacturers can drive continuous improvement and operational excellence—key concepts, components, and formulas are explained below.
Reducing Downtime in Manufacturing Company Operations for Higher Productivity
According to studies from the manufacturing sector, unplanned downtime costs industrial manufacturers 50 billion dollars annually, with some large factories losing thousands of dollars per