ISYE 6644 Simulation & Modeling Exam 2 Practice Exam
Actual 2026/2027 – Complete Exam-Style Questions with
Detailed Rationales | 100% Verified | Pass Guaranteed – A+
Graded
Section A: Introduction to Output Analysis & Finite-Horizon Simulation
Q1: A bank manager wants to estimate the average customer waiting time during
normal business hours from 9:00 a.m. to 5:00 p.m. Each day's operation starts with no
customers present. What type of simulation is most appropriate for this analysis?
A. Infinite-horizon steady-state simulation with truncation
B. Finite-horizon terminating simulation [CORRECT]
C. Continuous-time Markov chain with regenerative cycles
D. Monte Carlo integration over an unbounded domain
Correct Answer: B
Rationale: This is a terminating simulation because it runs for a fixed, natural period
(business hours) with a defined stopping event. Steady-state analysis would be
inappropriate since the system starts empty and shuts down daily, never reaching a
long-run equilibrium. Option A incorrectly applies steady-state concepts to a system
with natural boundaries. Option C introduces regenerative cycles not relevant here.
Option D confuses Monte Carlo integration with dynamic simulation.
Q2: A manufacturing cell operates 24 hours per day, 7 days per week, 365 days per year
with no planned shutdowns. An industrial engineer wants to estimate the long-run
average throughput and machine utilization. What classification of simulation should be
used?
,A. Finite-horizon simulation with 8-hour daily replications
B. Infinite-horizon steady-state simulation [CORRECT]
C. Terminating simulation with weekly replications and no warm-up
D. Discrete-event simulation with a fixed stopping time of one month
Correct Answer: B
Rationale: A system operating continuously without natural termination points requires
infinite-horizon steady-state analysis to estimate long-run performance measures.
Option A incorrectly treats continuous operation as discrete daily replications. Option C
ignores the need for warm-up in steady-state analysis. Option D imposes an arbitrary
finite horizon on an inherently ongoing system.
Q3: In a finite-horizon simulation of a retail store's holiday shopping season (November
1 through December 31), why do initial conditions matter significantly to the validity of
results?
A. Because steady-state formulas require initialization data to calculate bias correction
factors
B. Because the run length is fixed and the system may not have sufficient time to
overcome arbitrary starting conditions [CORRECT]
C. Because batch means cannot be applied to any terminating simulation output
D. Because the Central Limit Theorem only applies during the transient phase
Correct Answer: B
Rationale: In terminating simulations, the fixed run length means arbitrary initial
conditions (e.g., starting inventory levels) can substantially bias results since the
system cannot run long enough to "forget" them. Option A incorrectly suggests
steady-state formulas apply. Option C falsely claims batch means are incompatible with
terminating simulations. Option D reverses the Central Limit Theorem's applicability.
, Q4: An analyst simulates an emergency department for one week and wants to
construct a 95% confidence interval for the 90th percentile of patient waiting times. This
objective represents:
A. Steady-state mean estimation using the method of batch means
B. Finite-horizon quantile estimation [CORRECT]
C. Infinite-horizon variance parameter estimation for correlated output
D. Correlated output analysis using independent replications only
Correct Answer: B
Rationale: Estimating a quantile (not just the expected value) over a fixed time period is
a finite-horizon output analysis objective. Option A incorrectly applies steady-state
batch means. Option C misclassifies the goal as variance parameter estimation. Option
D describes a technique rather than the estimation objective.
Q5: Which of the following is the key characteristic that distinguishes an infinite-horizon
simulation from a finite-horizon simulation?
A. Finite-horizon simulations always use fewer computational replications than
infinite-horizon simulations
B. Infinite-horizon simulations have no natural event or time that terminates the
simulation [CORRECT]
C. Infinite-horizon simulations never require any warm-up or truncation period
D. Finite-horizon simulations cannot produce statistically valid confidence intervals
Correct Answer: B
Rationale: The defining feature of infinite-horizon simulations is the absence of a natural
stopping point, as opposed to terminating simulations with fixed durations or defined
ending events. Option A is false because replication count depends on precision
requirements, not horizon type. Option C is incorrect since steady-state analysis often
Actual 2026/2027 – Complete Exam-Style Questions with
Detailed Rationales | 100% Verified | Pass Guaranteed – A+
Graded
Section A: Introduction to Output Analysis & Finite-Horizon Simulation
Q1: A bank manager wants to estimate the average customer waiting time during
normal business hours from 9:00 a.m. to 5:00 p.m. Each day's operation starts with no
customers present. What type of simulation is most appropriate for this analysis?
A. Infinite-horizon steady-state simulation with truncation
B. Finite-horizon terminating simulation [CORRECT]
C. Continuous-time Markov chain with regenerative cycles
D. Monte Carlo integration over an unbounded domain
Correct Answer: B
Rationale: This is a terminating simulation because it runs for a fixed, natural period
(business hours) with a defined stopping event. Steady-state analysis would be
inappropriate since the system starts empty and shuts down daily, never reaching a
long-run equilibrium. Option A incorrectly applies steady-state concepts to a system
with natural boundaries. Option C introduces regenerative cycles not relevant here.
Option D confuses Monte Carlo integration with dynamic simulation.
Q2: A manufacturing cell operates 24 hours per day, 7 days per week, 365 days per year
with no planned shutdowns. An industrial engineer wants to estimate the long-run
average throughput and machine utilization. What classification of simulation should be
used?
,A. Finite-horizon simulation with 8-hour daily replications
B. Infinite-horizon steady-state simulation [CORRECT]
C. Terminating simulation with weekly replications and no warm-up
D. Discrete-event simulation with a fixed stopping time of one month
Correct Answer: B
Rationale: A system operating continuously without natural termination points requires
infinite-horizon steady-state analysis to estimate long-run performance measures.
Option A incorrectly treats continuous operation as discrete daily replications. Option C
ignores the need for warm-up in steady-state analysis. Option D imposes an arbitrary
finite horizon on an inherently ongoing system.
Q3: In a finite-horizon simulation of a retail store's holiday shopping season (November
1 through December 31), why do initial conditions matter significantly to the validity of
results?
A. Because steady-state formulas require initialization data to calculate bias correction
factors
B. Because the run length is fixed and the system may not have sufficient time to
overcome arbitrary starting conditions [CORRECT]
C. Because batch means cannot be applied to any terminating simulation output
D. Because the Central Limit Theorem only applies during the transient phase
Correct Answer: B
Rationale: In terminating simulations, the fixed run length means arbitrary initial
conditions (e.g., starting inventory levels) can substantially bias results since the
system cannot run long enough to "forget" them. Option A incorrectly suggests
steady-state formulas apply. Option C falsely claims batch means are incompatible with
terminating simulations. Option D reverses the Central Limit Theorem's applicability.
, Q4: An analyst simulates an emergency department for one week and wants to
construct a 95% confidence interval for the 90th percentile of patient waiting times. This
objective represents:
A. Steady-state mean estimation using the method of batch means
B. Finite-horizon quantile estimation [CORRECT]
C. Infinite-horizon variance parameter estimation for correlated output
D. Correlated output analysis using independent replications only
Correct Answer: B
Rationale: Estimating a quantile (not just the expected value) over a fixed time period is
a finite-horizon output analysis objective. Option A incorrectly applies steady-state
batch means. Option C misclassifies the goal as variance parameter estimation. Option
D describes a technique rather than the estimation objective.
Q5: Which of the following is the key characteristic that distinguishes an infinite-horizon
simulation from a finite-horizon simulation?
A. Finite-horizon simulations always use fewer computational replications than
infinite-horizon simulations
B. Infinite-horizon simulations have no natural event or time that terminates the
simulation [CORRECT]
C. Infinite-horizon simulations never require any warm-up or truncation period
D. Finite-horizon simulations cannot produce statistically valid confidence intervals
Correct Answer: B
Rationale: The defining feature of infinite-horizon simulations is the absence of a natural
stopping point, as opposed to terminating simulations with fixed durations or defined
ending events. Option A is false because replication count depends on precision
requirements, not horizon type. Option C is incorrect since steady-state analysis often
