35+ exam-style Q&A with clear answers on:
1.Optimization: 3 components -
Variables, Constraints, Objective Function.
Integer programs take longer to solve. Linear regression minimizes squared error.
2.Probability & Distributions: Weibull,
Exponential, Poisson. Memoryless
property. 1<<1 in Weibull = failure rate
decreases over time.
3.Simulation: Definition, real-system
models, mixed/randomized strategies.
4. Machine Learning: Neural network
layers and process. K-Means clustering
formula.
5. Time Series: Exponential smoothing
S_t = ax_t + (1 Alpha near 1 = low
randomness.
6. Other Key Topics: Design of
Experiments, Approximate Dynamic Programming, Binary vs Continuous imputation.
Written in Q&A format. No fluff. Perfect for last-minute Exam 3 review. Graded A+
, COMPREHENSIVE QUESTIONS AND
ANSWERS GRADED A+ LATEST
2026/2027
◉ True or False? If you have Create module generating one-at-a-time customer arrivals, then it is not
possible to use a different Create module with 4-at-a-time customer arrivals. Answer: False
◉ True or False? Fake customers can be used to schedule machine breakdowns, keep track of which time
period the simulation is currently in, and carry out other duties not associated with actual customers.
Answer: True
◉ Which module/spreadsheet is NOT in the Advanced Process panel? Answer: Process Model
- The process model is in the Basic Process panel.