Digitale fabriek - I2 - Dsquare

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Inleiding op deel 6 van de seminariereeks Digitale fabriek. Digitale fabriek als een van de transformaties van Factories of the Future.

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Digitale fabriek - I2 - Dsquare

  1. 1. D square: http://www.dsquare.be Production excellence through real-time decision supportFriday 30 March 2012
  2. 2. 71$+"8,("./92$..$(2$ 718-*:$/1+,2$;;$;/#,+/-"9*-"./ 5+,6%"4*.*%& 1+,6% ?11.*$;/%,/,1$+"8,("./1+,2$;;$;/";/ 3$.*"4*.*%& @$../";/1$,1.$/A/*(#,+-"8,( 3$<=*+$>/#,+/.*2$(;$/%,/,1$+"%$/"(>/ ()*+,(-$(%"./0,-1.*"(2$ 2,-1"(&/+$1=%"8,( !"#$%& ;;$(8"./#,+/.*2$(;$/%,/,1$+"%$ Operational ExcellenceFriday 30 March 2012
  3. 3. D square: http://www.dsquare.be From data sinks to information sources, from iT to ITFriday 30 March 2012
  4. 4. D square: http://www.dsquare.be From data sinks to information sources, from iT to ITFriday 30 March 2012
  5. 5. Production meeting Shift logbook ENTERPRISE RESOURCE PLANNING D square: http://www.dsquare.be Shift handover Plant conditions From data sinks to information sources, from iT to ITFriday 30 March 2012
  6. 6. Production meeting Shift logbook ENTERPRISE RESOURCE PLANNING D square: http://www.dsquare.be Shift handover Plant conditions PRODUCTION QUALITY EFFICIENCY MAINTENACE PIMS LIMS ALARM EVENTS SCADA - DCS PROCESS CONTROL From data sinks to information sources, from iT to ITFriday 30 March 2012
  7. 7. From data sinks to information sources, from iT to ITFriday 30 March 2012
  8. 8. http://www.dsquare.be Process Process Process watchdog logbook coach Real-time decision supportFriday 30 March 2012
  9. 9. D square: http://www.dsquare.beFriday 30 March 2012
  10. 10. D square: http://www.dsquare.be Data mining: science, art or magic?Friday 30 March 2012
  11. 11. Data mining flavors • Soft sensors • KPI prediction • Anomaly detection • Planning and scheduling • Adaptive control • ... • Defect classification / analysis / prediction • Root-cause analysis • Operator action advise Data mining: science, art or magic?Friday 30 March 2012
  12. 12. Data mining success criteria • What is the question? • Is the answer in the data? • Involvement & expectations? • Where is the expert? • Is there sufficient context? Data mining: science, art or magic?Friday 30 March 2012
  13. 13. D square: http://www.dsquare.be Case study: Operator action adviseFriday 30 March 2012
  14. 14. Waste incinerationFriday 30 March 2012
  15. 15. • Significant variation on the decisions taken by panel operators • Variations in operator behavior are believed to have significant effects on important process KPIs such as steam flow • Expertise of senior operators may not be fully exploited to assist more junior operators when difficult decisions need to be made • Data of operator actions and their effects is readily available in todays data historians. • There is a gap between the operational and managerial level that makes it difficult to implement performance optimal plant operation. It is hard for managers to relate operator behavior to process performance. • A feasibility study has indicated that potential ROI of a decision support system is signficant MotivationFriday 30 March 2012
  16. 16. Differential operator team analysisFriday 30 March 2012
  17. 17. • Determined influence factors for steam loss • Differential operator analysis ! Across teams ! Problems due to inefficient shift handover • Implementation of an operator advisory system (process GPS) ! Action advise ! Action insight ResultsFriday 30 March 2012
  18. 18. http://www.dsquare.be D square: http://www.dsquare.be Production excellence through real-time decision supportFriday 30 March 2012

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