Beyond Lean: Simulation in Practice

by Charles R. Standridge

Read here Read at LibreTextsPDF

Lean thinking, as well as associated processes and tools, have involved into a ubiquitous perspective for improving systems particularly in the manufacturing arena. Discrete event simulation is recognized as one beyond-the-boundaries of lean technique. Thus, the fundamental goal of this text is to show how discrete event simulation can be used in addition to lean thinking to achieve greater benefits in system improvement than with lean alone.

Description from LibreTexts.

Publisher
Grand Valley State University
Subjects
Engineering, Industrial and Systems Engineering
Licence
CC BY-NC-SA, as LibreTexts states it. Non-commercial use only.
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.

  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. 1: Beyond Lean- Process and Principles
  7. 1.1: Introduction
  8. 1.2: An Industrial Application of Simulation
  9. 1.3: The Process of Validating a Future State with Models
  10. 1.4: Principles for Simulation Modeling and Experimentation
  11. 1.5: Approach
  12. 1.6: Summary
  13. 2: Simulation Model Building
  14. 2.1: Introduction
  15. 2.2: Elementary Modeling Constructs
  16. 2.3: Models of System Components
  17. 2.4: Summary
  18. 3: Modeling Random Quantities
  19. 3.1: Introduction
  20. 3.2: Determining a Distribution in the Absence of Data
  21. 3.3: Fitting a Distribution Function to Data
  22. 4: Conducting Simulation Experiments
  23. 4.1: Introduction
  24. 4.2: Verification and Validation
  25. 4.3: The Problem of Correlated Observations
  26. 4.4: Common Design Elements
  27. 4.5: Design Elements Specific to Terminating Simulation Experiments
  28. 4.6: Examining the Results for a Single Scenario
  29. 4.7: Comparing Scenarios
  30. 4.8: Summary
  31. 5: The Simulation Engine
  32. 5.1: Introduction
  33. 5.2: Events and Event Graphs
  34. 5.3: Time Advance and Event Lists
  35. 5.4: Simulating the Two Workstation Model
  36. 5.5: Organizing Entities Waiting for a Resource
  37. 5.6: Random Sampling from Distribution Functions
  38. 5.7: Pseudo-random Number Generation
  39. 5.8: Summary
  40. 6: The Workstation
  41. 6.1: Introduction
  42. 6.2: Points Made in the Case Study
  43. 6.3: The Case Study
  44. 6.4: The Case Study for Detractors
  45. 6.5: Summary
  46. 7: Serial Lines
  47. 7.1: Introduction
  48. 7.2: Points Made in the Case Study
  49. 7.3: The Case Study
  50. 7.4: Summary
  51. 8: Job Shops
  52. 8.1: Introduction
  53. 8.2: Points Made in the Case Study
  54. 8.3: The Case Study
  55. 8.4: The Case Study with Additional Machines
  56. 8.5: Summary
  57. 9: Inventory Organization and Control
  58. 9.1: Introduction
  59. 9.2: Traditional Inventory Models
  60. 9.3: Inventory Models for Lean Manufacturing
  61. 9.4: Introduction to Pull Inventory Management
  62. 10: Inventory Control using Kanbans
  63. 10.1: Introduction
  64. 10.2: Points Made in the Case Study
  65. 10.3: The Case Study
  66. 10.4: Summary
  67. 11: Cellular Manufacturing
  68. 11.1: Introduction
  69. 11.2: Points Made in the Case Study
  70. 11.3: The Case Study1
  71. 11.4: Summary
  72. 12: Flexible Manufacturing Systems
  73. 12.1: Introduction
  74. 12.2: Points Made in the Case Study
  75. 12.3: The Case Study
  76. 12.4: Summary
  77. 13: Automated Inventory Management
  78. 13.1: Introduction
  79. 13.2: Points Made in the Case Study
  80. 13.3: The Case Study
  81. 13.4: Summary
  82. 14: Logistics
  83. 14.1: Introduction
  84. 14.2: Points Made in the Case Study
  85. 14.3: The Case Study
  86. 14.4: Summary
  87. 15: Integrated Supply Chains
  88. 15.1: Introduction
  89. 15.2: Points Made in the Case Study
  90. 15.3: The Case Study
  91. 15.4: Summary
  92. 16: Transfer Hubs 1
  93. 16.1: Introduction
  94. 16.2: Points Made in the Case Study
  95. 16.3: The Case Study
  96. 16.4: Summary
  97. 17: Automated Guided Vehicle Systems
  98. 17.1: Introduction
  99. 17.2: Points Made in the Case Study
  100. 17.3: The Case Study1
  101. 17.4: Assessment of Alternative Pickup and Dropoff Points
  102. 17.5: Summary
  103. 18: Automated Storage and Retrieval
  104. 18.1: Introduction
  105. 18.2: Points Made in the Case Study
  106. 18.3: The Case Study
  107. 18.4: Summary
  108. Back Matter
  109. Index
  110. Glossary
  111. Detailed Licensing