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Information Engineering

Information Engineering. Enhancing Information Quality for Effective Decision-Making in Textiles. for. The 2000 Massachusetts Institute of Technology Conference on Information Quality. October 21, 2000 Cambridge, Massachusetts. Presented By Mr. Neil Cahill Vice President

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Information Engineering

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  1. Information Engineering Enhancing Information Quality for Effective Decision-Making in Textiles for The 2000 Massachusetts Institute of Technology Conference on Information Quality October 21, 2000 Cambridge, Massachusetts Presented By Mr. Neil Cahill Vice President Institute of Textile Technology Charlottesville, Virginia with Dr. George Hodge North Carolina State University Dr. William Oxenham North Carolina State University Mr. Yatin Karpe North Carolina State University i:\share\sandys\conferences\informationengineering-mit2.ppt

  2. . . . plant having Performance Capability a traditional plant does not have, and, therefore, cannot match performance, no matter how modern or well managed. i:\share\sandys\conferences\informationengineering-mit2.ppt

  3. ONE NEW CAPABILITY NEEDED . . . High proportion of current manufacturing performance losses are due to slow response to production problems. i:\share\sandys\conferences\informationengineering-mit2.ppt

  4. PERFORMANCE DEGRADATION CURVE Point of Degradation X Normal Point of Malfunction Process X Performance Point of Failure X Poor Response Delay Time i:\share\sandys\conferences\informationengineering-mit2.ppt

  5. SLOW RESPONSE CONTROL Good X Performance Loss X Performance Measures Reaction Point X Poor Short Long Response Delay Time i:\share\sandys\conferences\informationengineering-mit2.ppt

  6. FAST RESPONSE CONTROL Good X Loss Reaction Point X Performance Measures X Poor Short Long Response Delay Time i:\share\sandys\conferences\informationengineering-mit2.ppt

  7. TIME VALUE OF INFORMATION i:\share\sandys\conferences\informationengineering-mit2.ppt

  8. . . . Value of Information decays rapidly with elapse time after need to know. i:\share\sandys\conferences\informationengineering-mit2.ppt

  9. TIME VALUE OF INFORMATION Use Value of Information Need to Know TIME Info Available i:\share\sandys\conferences\informationengineering-mit2.ppt

  10. . . . Finding and Diagnosing information takes 80% of total time needed to complete a decision! i:\share\sandys\conferences\informationengineering-mit2.ppt

  11. DECISION RESPONSE TIME Decision Action Slow Reaction Find & Diagnose 10% 10% 80% 100% Fast Reaction Fd Diag Dec Act 5% 10% 10% 10% 35% i:\share\sandys\conferences\informationengineering-mit2.ppt

  12. Measuring Decision Effectiveness (Manufacturing Problem Solving) i:\share\sandys\conferences\informationengineering-mit2.ppt

  13. BASIC DETERMINANTS OF MANUFACTURING DECISION EFFECTIVENESS 1. Number of process malfunctions. 2. Delay in responding to problems. 3. Effectiveness of corrective action taken. i:\share\sandys\conferences\informationengineering-mit2.ppt

  14. DECISION EFFECTIVENESS EQUATION ( ( ) ) ( ) ( ) ( ) + Malfunction Frequency Defects/ Hr Response Delay Defects/ Hr Elapse Time = Decision Effectiveness 1.0-R.E. Failure Rate Reaction Delay Action Effectiveness R.E. = % Response Effectiveness

  15. TWO CONCEPTS OF AN INFORMATION SYSTEM i:\share\sandys\conferences\informationengineering-mit2.ppt

  16. INFORMATION DELIVERY SYSTEMS 1. Information Distribution System. 2. Decision Message System. i:\share\sandys\conferences\informationengineering-mit2.ppt

  17. O O O O Information Generator Users Information Flow Pipe General Report Traditional Information System i:\share\sandys\conferences\informationengineering-mit2.ppt

  18. WHAT DO USERS REALLY WANT? Information in Reports? OR Meaning in Information? i:\share\sandys\conferences\informationengineering-mit2.ppt

  19. . . . it is Meaning which allows people to understand situations and make appropriate decisions i:\share\sandys\conferences\informationengineering-mit2.ppt

  20. MESSAGES . . . Intended meaning to be conveyed by the information to the user. i:\share\sandys\conferences\informationengineering-mit2.ppt

  21. . . . I told him 10 times (Information), but he still doesn’t understand what’s happening (Message)! i:\share\sandys\conferences\informationengineering-mit2.ppt

  22. O O O Information Generator Users Customized Report Expected Decision Message Interface Information Flow Pipe Decision Message System i:\share\sandys\conferences\informationengineering-mit2.ppt

  23. O O Tap Tap Technician Manager Customer Message Interface Information Flow Customized Message Interface For User i:\share\sandys\conferences\informationengineering-mit2.ppt

  24. INFORMATION ENGINEERING . . . method to extract the Meaning Content from information before sending to user. i:\share\sandys\conferences\informationengineering-mit2.ppt

  25. . . . information needs are Decision-Driven i:\share\sandys\conferences\informationengineering-mit2.ppt

  26. DATA TO DECISION CYCLE . . . sense an event Detection . . . identify and quantify event Data . . . relationship of different events Information . . . meaning of relationships Diagnosis . . . understanding relationship Message . . . choice of response Decision . . . implement change Action i:\share\sandys\conferences\informationengineering-mit2.ppt

  27. DATA TO DECISION CYCLE Detection Data Information Reporting Information Diagnosis Message Decision Action i:\share\sandys\conferences\informationengineering-mit2.ppt

  28. DATA/INFORMATION REPORT Weaving Computer Monitoring Report MCH % EFF STY WVR S/RLH WS FS OS 0049 0052 0051 0053 0054 0055 0037 0038 0039 0040 0561 0562 0563 0564 0565 0001 0002 0003 0004 0005 0572 0573 Avg. 091.0 080.4 083.1 074.1 091.6 091.6 105.2 094.1 094.5 086.0 094.6 096.6 098.0 094.0 094.1 072.1 086.8 089.5 079.5 094.1 094.8 095.0 090.0. 056 056 056 056 056 056 056 056 053 056 056 053 056 056 053 056 056 053 056 053 056 053 032 033 033 033 033 032 032 032 033 033 033 032 032 033 032 033 033 032 033 032 032 032 1.09 1.24 0.90 2.02 0.27 1.22 0.00 0.13 0.13 0.72 0.26 0.65 0.38 0.13 0.53 2.08 0.72 1.68 0.94 0.53 1.18 0.92 0.80 5 6 5 11 2 8 0 1 1 3 2 3 3 1 3 4 1 3 2 1 2 5 2 2 0 1 0 1 0 0 0 2 0 2 0 0 1 8 3 7 4 3 1 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 6 0 i:\share\sandys\conferences\informationengineering-mit2.ppt

  29. DATA TO DECISION CYCLE Detection Data Information Diagnosis Meaningful Messages Message Decision Action i:\share\sandys\conferences\informationengineering-mit2.ppt

  30. MEANING/MESSAGE REPORT o 100 o o o o o Weaver 032 o 95 o o o o 90 Machine Efficiency (%) 85 80 Weaver 033 75 0 2 4 6 8 10 12 14 Stops Rate Efficiency Delay Curve i:\share\sandys\conferences\informationengineering-mit2.ppt

  31. O O O Information Generator Users Customized Report Expected Decision Message Interface Information Flow Pipe Decision Message System i:\share\sandys\conferences\informationengineering-mit2.ppt

  32. Walk-through Visit of 21st Century Textile Plant i:\share\sandys\conferences\informationengineering-mit2.ppt

  33. CIM Computer-Integrated Manufacturing i:\share\sandys\conferences\informationengineering-mit2.ppt

  34. Figure 1. Automated and computerized plant with full-factory communications network (Murata CIM Mill). i:\share\sandys\conferences\informationengineering-mit2.ppt

  35. . . . Future textile plants will be highly automated! i:\share\sandys\conferences\informationengineering-mit2.ppt

  36. Automated Piece Up and Cone Doffing Academic\No5Class899.ppt 38 i:\share\sandys\conferences\informationengineering-mit2.ppt

  37. 45 i:\share\sandys\conferences\informationengineering-mit2.ppt

  38. PLANT COMMUNICATIONS NETWORK . . . Local Area Network (LAN) providing real-time bi-directional communication between individual machines and plant computer. i:\share\sandys\conferences\informationengineering-mit2.ppt

  39. COMMUNICATIONS CENTER Assess Plant Performance Status and Broadcast Action Messages i:\share\sandys\conferences\informationengineering-mit2.ppt

  40. i:\share\sandys\conferences\informationengineering-mit2.ppt

  41. Broadcast Messages To Selected Personnel O Computer Control Center O Broadcast Message O Factory Network Machine-to-Man messaging i:\share\sandys\conferences\informationengineering-mit2.ppt

  42. SIGNAL DISPATCHED OPERATORS . . . Computerized monitoring system detects Machine Service Needs and automatically Calls appropriate personnel. i:\share\sandys\conferences\informationengineering-mit2.ppt

  43. O O Technician Operator O O Handler Cleaner Spinning Machine Change-Over Swat Team i:\share\sandys\conferences\informationengineering-mit2.ppt

  44. So now must . . . Put intelligence into the machine system! i:\share\sandys\conferences\informationengineering-mit2.ppt

  45. i:\share\sandys\conferences\informationengineering-mit2.ppt

  46. AUTOMATED DECISION OF FABRIC GRADE IF: OR: THEN: IF NOT: More than (3) Stops/50 yards Technician Repair Required Send AGV to Human Inspector Send AGV to Loading Dock i:\share\sandys\conferences\informationengineering-mit2.ppt

  47. ENGINEERING INFORMATION FOR MANUFACTURING DECISION MAKERS i:\share\sandys\conferences\informationengineering-mit2.ppt

  48. INSTANTANEOUS FACT-FINDING . . . provide a decision-maker with needed facts in the logical order to readily understand performance problem as soon as detected. DECISION MAKER DRAWS THE CONCLUSIONS i:\share\sandys\conferences\informationengineering-mit2.ppt

  49. TYPES OF DECISIONS MADE IN MANUFACTURING i:\share\sandys\conferences\informationengineering-mit2.ppt

  50. CLASSIFY DECISION TYPES 1. PROGRAMMABLE DECISION . . . repetitive situations with predictable response. 2. DISCRETIONARY DECISION . . . Situation requiring a judgment call. 3. KNOWLEDGE INTENSIVE DECISION . . . Unique situations requiring special knowledge for response. i:\share\sandys\conferences\informationengineering-mit2.ppt

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