Download Information Delivery with SAS at Toyota

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Data model wikipedia , lookup

Data center wikipedia , lookup

Data vault modeling wikipedia , lookup

Data analysis wikipedia , lookup

3D optical data storage wikipedia , lookup

Information privacy law wikipedia , lookup

Business intelligence wikipedia , lookup

Transcript
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