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23-Ind-A6 Systems Simulation: December 2013

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

  1. Question 1 Question 1 (Part A, Q1 — Simulation Study Proposal Memo)
  2. Question 2 Question 2 (Part A, Q2 — Process Flow Diagram)
  3. Question 3 Question 3 (Part B, Q1 — Outlier Test on Firm A Data)
  4. Question 4 Question 4 (Part B, Q2 — Required Sample Size for Firm B)
  5. Question 5 Question 5 (Part B, Q3 — Firm Selection)
  6. Question 6 Question 6 (Part B, Q4 — Goodness-of-Fit Test)
  7. Question 7 Question 7 (Part B, Q5 — Discussion of Normality)
  8. Question 8 Question 8 (Part C, Set 1 — Batch Means, Run Length, Warm-Up)
  9. Question 9 Question 9 (Part C, Set 2 — Variance Reduction)
  10. Question 10 Question 10 (Part C, Set 3 — Verification, Validation, Credibility)
  11. Question 11 Question 11 (Part D, Set 1 — Custom LCG)
  12. Question 12 Question 12 (Part D, Set 2 — Hand Simulation of the Welding Station)
  13. Question 13 Question 13 (Part D, Set 3 — Acceptance-Rejection Variate Generation)
  14. Question 14 Question 14 (Part D, Set 4 — ANOVA on the Screening Design)

Start with Question 1 →

National Exams — December 2013 — 98-Ind-A6 Systems Simulation. Three-hour, closed-book exam; one of two permitted calculators (Sharp or Casio), one 8.5″×11.0″ aid sheet (both sides). Format: 14 sub-questions across four parts — Part A (do 1 of 2, 25 marks), Part B (do 3 of 5, 15 marks), Part C (do 1 of 3, 10 marks), Part D (do 2 of 4, 20 marks); 7 questions, 70 marks constitute a complete paper. All fourteen sub-questions are solved below for completeness (the source restarts its own numbering at 1 within each Part). Statistical tables (Normal, t, chi-square, F) were supplied with the exam; the values below are the same table values obtained by direct computation.

Reference texts: Banks, Carson, Nelson & Nicol, Discrete-Event System Simulation (5th ed., Pearson) — simulation study design, random-number generation, input/output data analysis, variance reduction, verification & validation, queueing simulation; Montgomery, Design and Analysis of Experiments (9th ed., Wiley) — factorial designs and ANOVA.