Bim based process mining master thesis presentation

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Date: 01-03-2016
Location: Eindhoven University of Technology

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  • BIM based process mining , Enabling knowledge reassurance and fact-based problem discovery within the AECFM industry
  • Always the same problems in construction industry
  • Knowledge loss
  • LEAN
  • BIM construction industry IT systems data
  • BIM is data
  • Process mining research field
  • Bim based process mining master thesis presentation

    1. 1. BIM based process mining Enabling knowledge reassurance and fact-based problem discovery within the AECFM industry Graduation thesis for Construction Management and Engineering Msc by : Stijn van Schaijk
    2. 2. Always the same problems?
    3. 3. Complexity in the construction sector? • Winch (1987): construction projects are amongst the most complex of all activities. • Gidado (1996): rapid increase in the complexity of construction processes. • Lots of specialists/experts/companies
    4. 4. A construction project team
    5. 5. A new construction project team
    6. 6. Large fragmentation results in…
    7. 7. … short learning curve
    8. 8. … short learning curve
    9. 9. As a result of knowledge loss • Same problems over and over…
    10. 10. As a result of knowledge loss • Wastes/spoilings
    11. 11. As a result of knowledge loss • A lot of improvements possible in terms of quality, speed, efficiency and money!
    12. 12. Target of the research:
    13. 13. How? • Knowledge reassurance with Building Information Modelling and Process Mining. • Learn from previous projects. • Finding bottlenecks and planning deviation. • Develop a method with tools to reuse data from previous projects.
    14. 14. What is BIM?
    15. 15. What is Process Mining? https://www.youtube.com/watch?v=7oat7MatU_U
    16. 16. Case studies: Construction process mining
    17. 17. Case study: Construction design process mining
    18. 18. Case study: Construction design process mining • Analysis of the design process of a road project
    19. 19. Case study: Construction design process mining • Event log export from Relatics • ± 140.000 events
    20. 20. Planned process of verification a specification 1. Create/Import Specification 2. Connect Specification to Upper/Lower Specification 3. Assign Specification description 4. Assign control responsibility 5. Assign Specification to Project phase 6. Assign Specification to Person 7. Connect Specification to Work package activity 1 8. Connect Specification to Work package activity 2 9. Connect Specification to Work package activity 3 10. Create work package (WPA) verification 11. Assign work package (WPA) verification to Person 12. Add document of prove 13. Add note to WPA verification
    21. 21. As-planned:
    22. 22. As-planned:
    23. 23. As-happend: Most extreme result: 1 specification had 1904 process steps
    24. 24. Most extreme result: 1 specification had 1904 process steps
    25. 25. Most extreme result: 1 specification had 1904 process steps
    26. 26. Conclusion case study “Process mining analytics did us realize that we use our IT systems to store information, but those systems don’t automatically facilitate an efficient process.” -Process engineer, contractor More info? Read http://www.slideshare.net/StijnvanSchaijk/case-study- construction-design-process-mining
    27. 27. Case studies: Construction process mining
    28. 28. Continuous improvement cycle during construction projects • How: Plan, (Autonomous-) Capture, Analyse and Reuse process data from construction sites • Finding and storing bottlenecks and planning deviation
    29. 29. Case study: Schependomlaan Nijmegen • Partners: • Hendriks Bouw en Ontwikkeling • Dreamfocus Droned • RAAMAC IFC model
    30. 30. Need for tools
    31. 31. Plan 1. Connect planning to IFC 2. Generate As-planned models
    32. 32. Capture 1. Scan construction site with drone 2. Create As-built point cloud model (Structure from motion) 3. Compare As-built with As-planned 4. Merge results with event log
    33. 33. 1. Scan construction site with drones (Dreamfocus Droned https://www.youtube.com/watch?v=QbBf31bY0xw )
    34. 34. 2. Create As-built point cloud model • Structure from motion techniques, how does it work?
    35. 35. Take a lot of images of an object • Around 300 pictures generated from drone movie
    36. 36. Identify points in the images that can possibly be detected in other images
    37. 37. Search for corrseponding points in other images
    38. 38. Compute camera positions and 3D point positions such that corresponding viewing rays intersect • (Matlab script)
    39. 39. Result: As-built point cloud
    40. 40. 4. Compare As-planned and As- built
    41. 41. Elements missing according to dronescan • Week 26 : 9 missing elements - windows and insulation parts. • Week 27 : 50 missing elements - windows • Week 28 : 89 missing elements - windows, insulation, brick facades, and prefab elements. • Week 29 : 18 missing elements - windows, insulation and brick facades. • Week 30 : 4 missing elements - windows.
    42. 42. Final event log • 3661 events tagged ‘On time’, or ‘Too late’
    43. 43. Plan CaptureAnalyse Reuse 3. Analyse
    44. 44. Event log analytics 1. As-planned vs As-built 2. Durations 3. Process variants 4. Bottlenecks 5. Social analytics
    45. 45. Analytics concrete floor • Query: Give me all the processes related to the material “Breedplaatvloer”
    46. 46. Concrete floors
    47. 47. Concrete floors
    48. 48. Social analytics • Query: who is most influential on the project?
    49. 49. Social analytics • Query: Which tasks has ‘Timmerman 1’ done at this project?
    50. 50. 4. Reuse • Tool: Planning consult with BIMserver Plan CaptureAnalyse Reuse
    51. 51. 4. Reuse
    52. 52. Planning consult
    53. 53. Risk visualization
    54. 54. Planning advice and risk identification
    55. 55. Case study recap Plan CaptureAnalyse Reuse
    56. 56. Results & discussion • Found reuse applications for as-planned BIMs • Advice: As-planned models contain valuable data, reuse them
    57. 57. Results & discussion • Used state of the art for process capturing. • Advice: Allign planning and capturing tools.
    58. 58. Results & discussion • Bridged gap process mining and BIM
    59. 59. Results & discussion • Discovered potentials process mining in construction industry. • Read case study design process mining • http://www.slideshare.net/StijnvanSchaijk/case-study-construction-design-process- mining • Read case study facility management process mining: • http://www.slideshare.net/StijnvanSchaijk/case-study-process-mining-with-facility- management-data
    60. 60. Further work Project level
    61. 61. Further work Company level (Process oriented data warehouse)
    62. 62. Further work Industry level
    63. 63. Further work • Reuse facility management data for new projects • Identify risks in very early stages
    64. 64. Further work • More alignment between physical and digital world, so more data. • Real time data reuse so failures can be predicted
    65. 65. You can reuse: Dataset: http://bit.do/DataSetSchependomlaan Tools • Eventlog generator: https://www.youtube.com/watch?v=LOJsHvGq-KE • Planning consult: https://www.youtube.com/watch?v=nJTh_0Xmra0 Thesis http://www.slideshare.net/StijnvanSchaijk/building-information- model-bim-based-process-mining
    66. 66. Thanks to all who have helped Questions?Dreamfocus Droned

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