This presentation covers a systems approach to manufacturing controls that will rely on real-time data from sensors and devices to drive factory level decisions. Details include data acquisition and analytic methods to evaluate material movements, process and product flows; parts management, tools control, equipment performance, facilities infrastructure, and manpower utilization. Discussions will include typical machine data collection capabilities and analysis tools to calculate overall equipment effectiveness (OEE) and condition based maintenance (CBM). Also, sensors data for situational awareness such as automated identification technologies will be explored. The audience will be introduced to industry standards as well solution base approaches that will link low level data to the legacy systems to simplify decisions and reduce/eliminate non-value added tasks. Emphasis will also be placed on advanced portal systems and data visibility from large data sets and a variety of data sources. The audience will be introduced to examples related to aerospace manufacturing by addressing specific problems in fabrication and assembly build cycles. There will also be exposure to roadmaps and trends in IoT within aerospace manufacturing including value propositions and opportunities for further research.