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Information Delivery with SAS at Toyota Michael Eksteen & Dave Bullock Systems Automation & Management (Pty) Ltd Status Quo • • • Plant exists for 40 years Manual systems are being automated Real time data from the automated systems are acquired and stored • Improved efficiency requires quicker response times • Quicker response times expect on time information delivery Project Scope • Supply a production monitoring system that will gather line information and display it at three levels: – Real time data to the team leaders and operators – Production and downtime information to the maintenance team – Production and downtime information to management Production Monitoring • • Scores Material Control – CKD/Local material not available • Jidoka – Pull cord for production problems • Poke-Yoke – Affirmation, Brake Bleed machines etc. cause a line stop • • E-Stops Machine Alarms – Generated by the PLC and generally require maintenance intervention Factory Floor • ANDON Boards – Digital Displays – Audible Alarms Maintenance • • • • Wonderware InTouch Wonderware FactoryFocus Wonderware InSql SAS Institutute Software Maintenance Management • • • Wonderware FactoryFocus Wonderware InSQL SAS Institute Software Management Network Topology Management Nodes Existing Token Ring InSQL Server Ethernet InTouch Nodes Why Wonderware InSQL ? • Direct import of InTouch tags • Logging all types of data (Alarms, Analogue Values etc.) • Plant Data Historian Why SAS Institute Software? • • • • Cleaning & Verification of data Summarising data Generating reports Perform multi-dimensional analysis Data Manipulation • Reduces data volume (approximately 1 MB for 6 months) • Complete, dynamic statistical manipulation • Simultaneous evaluation of disparate data sources • OLAP and MOLAP • Data mining Live Multidimensional Reports Goals Achieved • • • • • • Single source of information Management support tool Simple interface Industrial engineering analysis tool Interactive analysis and reporting Empowering the user Information Delivery Considerations • Design system with the big picture in mind • Structure Tagnames to facilitate drill down reports (eliminates hard coded queries in SAS) • Ensure data collected is credible Conclusion • • • • • Data provides valuable information Don’t collect, use Standardise data Standardise reporting Improved bottom line Thank You • Questions and Answers