Issue link: https://iconnect007.uberflip.com/i/1463464
80 SMT007 MAGAZINE I APRIL 2022 The Smart Factory Starting to implement your Smart factory will require three areas of focus: sensing and collecting data in real time, connecting, and predicting. Sensing: Collecting the data in real time; these nine bullets are just some ideas: 1. MES route, tool, recipe info 2. SECS/GEM tool/process state 3. WIP location tracking 4. Defect metrology tools 5. Product yields 6. SPC, APC, RtR, FDC 7. RGAs and other IoT sensors 8. RF, QCM, vibration, fluid flow 9. Sub-floor tool status and environment Connecting: Uniting different and unique data sources. is may require some ingenu- ity to collect data from bar-code readers, BCD displays, PLCs, or other islands of automation. Predicting: Using models to predict data on the outcome of machine/process events for alerting operators to predicting machine downtime for maintenance to improving pro- cesses for higher controlled impedance perfor- mance. Once Level 0 (factory floor and sensors) and Level 1 (DAQs, PLCs and controllers) are con- nected and producing data, then comes the evaluation of factory setup and control systems soware. ese soware products can pro- vide real-time factory analysis as seen in Fig- ure 5, and the soware, including RMS, SPC, Figure 4: PLCs and sensors are the major source of data for the Smart Factory as well as the myriad protocols used to connect them.