Don't Try These in the Real World

By Lee W. Schruben

Industrial Engineering and Operations Research, University of California, Berkeley

Published on

Abstract

Simulation models provide virtually unlimited power; or rather, they provide unlimited virtual power. If you can think of something, you can simulate it. Experimenting in a simulated world, you can change anything, in any way, at any time - even change time itself. Simulators are gods, ruling in time and space over parallel universes of their own creation. Purdue is at the center of these simulated universes, the Big Bang(s) happened here. The first steps to using the powers of simulation is to be aware of them and their origins.

"Mit der Dummheit kämpfen Götter selbst vergebens."

             - Friedrich Schiller (1759–1805)

Bio

Lee Schruben Lee Schruben is a Chancellor’s Professor, and former Chair, in the Department of Industrial Engineering and Operations Research at the University of California at Berkeley. Prior to joining the Berkeley faculty, he was on the Operations Research and Information Engineering faculty at Cornell where he held the A. Schultz Professorship in Engineering. His interests are in simulation modeling and analysis with a broad range of applications, currently focusing on biopharmaceutical manufacturing and emergency health care. He spent his first sabbatical year and several summers teaching and doing research with Alan Pritsker and others in the School of Industrial Engineering at Purdue University.

Cite this work

Researchers should cite this work as follows:

  • Lee W. Schruben (2012), "Don't Try These in the Real World," http://nanohub.org/resources/13952.

    BibTex | EndNote

Time

Location

Stewart Center, Room 306, Purdue University, West Lafayette, IN

Tags

Don\'t Try These in the Real World
  • Don’t try these in the real world 1. Don’t try these in the real … 0
    00:00/00:00
  • Outline 2. Outline 151.9
    00:00/00:00
  • A. Alan B. Pritsker 3. A. Alan B. Pritsker 159.5
    00:00/00:00
  • Model (n.) One system used to study another 4. Model (n.) One system used to … 332.33333333333331
    00:00/00:00
  • Model (v. t.) 5. Model (v. t.) 371.4
    00:00/00:00
  • Box: 6. Box: "All models (n) are wrong… 423.96666666666664
    00:00/00:00
  • Things we can do. 7. Things we can do. 585.83333333333337
    00:00/00:00
  • Slide 8: Untitled 8. Slide 8: Untitled 610.66666666666663
    00:00/00:00
  • Slide 9: Untitled 9. Slide 9: Untitled 637.4
    00:00/00:00
  • Slide 10: Untitled 10. Slide 10: Untitled 645.83333333333337
    00:00/00:00
  • A Real-world Experiment Aircraft Company 11. A Real-world Experiment Aircra… 699.9
    00:00/00:00
  • Things we can do. 12. Things we can do. 738.3
    00:00/00:00
  • Conventional 13. Conventional "Simulation" Expe… 762.6
    00:00/00:00
  • Slide 14: Untitled 14. Slide 14: Untitled 823.66666666666663
    00:00/00:00
  • Slide 15: Untitled 15. Slide 15: Untitled 843.63333333333333
    00:00/00:00
  • Slide 16: Untitled 16. Slide 16: Untitled 875
    00:00/00:00
  • Slide 17: Untitled 17. Slide 17: Untitled 912.5
    00:00/00:00
  • Expand Model to saturate design 18. Expand Model to saturate desig… 953.63333333333333
    00:00/00:00
  • Slide 19: Untitled 19. Slide 19: Untitled 980.23333333333335
    00:00/00:00
  • Things we can do. 20. Things we can do. 1031.4
    00:00/00:00
  • Observable Response during run of Simulation Experiments, so 21. Observable Response during run… 1037.8333333333333
    00:00/00:00
  • Control Input and Observe Output 22. Control Input and Observe Outp… 1085.9
    00:00/00:00
  • Control Input and Observe Output 23. Control Input and Observe Outp… 1101.6666666666667
    00:00/00:00
  • Linear system response 24. Linear system response 1123.4333333333334
    00:00/00:00
  • 25. "Pure" quadratic system respon… 1140.2666666666667
    00:00/00:00
  • Harbor Simulation (T. Schriber) 26. Harbor Simulation (T. Schriber… 1150.6333333333334
    00:00/00:00
  • Nuclear Waste Repository Sites 27. Nuclear Waste Repository Sites 1207.4666666666667
    00:00/00:00
  • Things we can do. 28. Things we can do. 1258.3333333333333
    00:00/00:00
  • Opening the 29. Opening the "Black Box" 1266.5333333333333
    00:00/00:00
  • Process Flow Languages Single Queue 30. Process Flow Languages Single … 1278
    00:00/00:00
  • Slide 31: Untitled 31. Slide 31: Untitled 1293.5333333333333
    00:00/00:00
  • Slide 32: Untitled 32. Slide 32: Untitled 1321.2333333333334
    00:00/00:00
  • Event Relationships 33. Event Relationships 1351.0333333333333
    00:00/00:00
  • Simulation Events 34. Simulation Events 1402.5666666666666
    00:00/00:00
  • Event Relationships 35. Event Relationships 1424.9333333333334
    00:00/00:00
  • Slide 36: Untitled 36. Slide 36: Untitled 1436.2
    00:00/00:00
  • Slide 37: Untitled 37. Slide 37: Untitled 1441.6333333333334
    00:00/00:00
  • Simulation Code (with comments) 38. Simulation Code (with comments… 1445.7333333333334
    00:00/00:00
  • Process Interaction 39. Process Interaction "Entity Fl… 1497.6
    00:00/00:00
  • Process Flow Modeling Languages 40. Process Flow Modeling Language… 1521.1666666666667
    00:00/00:00
  • General Network (job i, process j) 41. General Network (job i, proces… 1534.7
    00:00/00:00
  • KG Berkeley Production Facility 42. KG Berkeley Production Facilit… 1557.4666666666667
    00:00/00:00
  • Biopharmaceutical Supply Chains 43. Biopharmaceutical Supply Chain… 1563.2
    00:00/00:00
  • Activity Interaction 44. Activity Interaction 1607.2
    00:00/00:00
  • Slide 45: Untitled 45. Slide 45: Untitled 1630.4
    00:00/00:00
  • Slide 46: Untitled 46. Slide 46: Untitled 1632.3333333333333
    00:00/00:00
  • Slide 47: Untitled 47. Slide 47: Untitled 1636.5
    00:00/00:00
  • One year run takes 1sec on laptop 48. One year run takes 1sec on lap… 1641.1
    00:00/00:00
  • CITRIS S3 project at UC Davis and UCSF Emergency Medicine Dept. 49. CITRIS S3 project at UC Davis … 1644.4333333333334
    00:00/00:00
  • Conventional 50. Conventional "simulation" expe… 1721.5333333333333
    00:00/00:00
  • Simulation Model 51. Simulation Model 1730.4333333333334
    00:00/00:00
  • Integrated Model/Experiment 52. Integrated Model/Experiment 1734.9333333333334
    00:00/00:00
  • Both experiments are run concurrently (raced) 53. Both experiments are run concu… 1755
    00:00/00:00
  • Common Random Variables 54. Common Random Variables 1757
    00:00/00:00
  • Replicated model/experiment 55. Replicated model/experiment 1783.2
    00:00/00:00
  • Simulation Model/Experiments 56. Simulation Model/Experiments 1791.8
    00:00/00:00
  • Time Dilation 57. Time Dilation 1799.7666666666667
    00:00/00:00
  • Time Dilation: Different Time Scales 58. Time Dilation: Different Time … 1815.4
    00:00/00:00
  • Time Dilation: Collecting Output Statistics 59. Time Dilation: Collecting Outp… 1837.6333333333334
    00:00/00:00
  • Test Problem 60. Test Problem 1844.2333333333334
    00:00/00:00
  • Cost of Decision 61. Cost of Decision 1846.4
    00:00/00:00
  • Simulation Model/Experiments 62. Simulation Model/Experiments 1873.9333333333334
    00:00/00:00
  • Event Constraints (Define Ei as the time of event E) 63. Event Constraints (Define Ei a… 1876
    00:00/00:00
  • Slide 64: Untitled 64. Slide 64: Untitled 1940.1666666666667
    00:00/00:00
  • Multiple Resource, Batch Processing 65. Multiple Resource, Batch Proce… 1969.2333333333334
    00:00/00:00
  • Sensitivity 66. Sensitivity 1976.2
    00:00/00:00
  • Outline 67. Outline 2030.8666666666666
    00:00/00:00
  • Scheduling Cluster Tools 68. Scheduling Cluster Tools 2034
    00:00/00:00
  • Single-Cluster v.s. Multi-Cluster 69. Single-Cluster v.s. Multi-Clus… 2035.0666666666666
    00:00/00:00
  • Slide 70: Untitled 70. Slide 70: Untitled 2036.4666666666667
    00:00/00:00
  • Slide 71: Untitled 71. Slide 71: Untitled 2078.0666666666666
    00:00/00:00
  • Simulation run times 72. Simulation run times 2078.5
    00:00/00:00
  • Integer Programs 73. Integer Programs 2086.0333333333333
    00:00/00:00
  • Conventional 74. Conventional "simulation" meta… 2105.4
    00:00/00:00
  • Model/Experiment/Model 75. Model/Experiment/Model 2152.2
    00:00/00:00
  • Model/Experiment/Model 76. Model/Experiment/Model 2168
    00:00/00:00
  • Slide 77: Untitled 77. Slide 77: Untitled 2175.1666666666665
    00:00/00:00
  • Slide 78: Untitled 78. Slide 78: Untitled 2179.1666666666665
    00:00/00:00
  • Slide 79: Untitled 79. Slide 79: Untitled 2182.1
    00:00/00:00
  • Integrated Model/Experiment 80. Integrated Model/Experiment 2201.3666666666668
    00:00/00:00
  • Slide 81: Untitled 81. Slide 81: Untitled 2203.2333333333331
    00:00/00:00
  • Slide 82: Untitled 82. Slide 82: Untitled 2205.6
    00:00/00:00
  • Slide 83: Untitled 83. Slide 83: Untitled 2214.7333333333331
    00:00/00:00
  • Slide 84: Untitled 84. Slide 84: Untitled 2223.2333333333331
    00:00/00:00
  • Slide 85: Untitled 85. Slide 85: Untitled 2251.3333333333335
    00:00/00:00
  • Slide 86: Untitled 86. Slide 86: Untitled 2270.5666666666666
    00:00/00:00
  • Slide 87: Untitled 87. Slide 87: Untitled 2296.1333333333332
    00:00/00:00
  • Slide 88: Untitled 88. Slide 88: Untitled 2321.0333333333333
    00:00/00:00
  • Summary 89. Summary 2347.7666666666669
    00:00/00:00
  • Outline 90. Outline 2404.7333333333331
    00:00/00:00
  • Process Flow Languages Single Queue 91. Process Flow Languages Single … 2406.5333333333333
    00:00/00:00
  • Evolution 92. Evolution 2409
    00:00/00:00
  • Slide 93: Untitled 93. Slide 93: Untitled 2452.6
    00:00/00:00
  • Lee Schruben 94. Lee Schruben 2481.3333333333335
    00:00/00:00