No.

QUESTION ANSWER

1 Simulation is an … of the operation of a real-world IMITATION

process or system over time

2 What type of simulation that we learn in this course? Discrete-Dynamic-Stochastic

3 What can simulation be used for? Analyze current performance of a system,

Predict the effect of changes to existing systems,
Test new design

4 In a simulation study, what are the 2 steps before Data collection; model conceptualization
creating the model in the computer?

5 In a simulation study, what are the 2 steps after Verification, Validation

creating the model in the computer?

6 Verification means… Make sure that the model has no error

Make sure that the model runs according to the logic that you
know

7 What is true about validation? To make sure the model is similar to the real system,
To make sure that model runs according to the logic that you
want, To do after verification

8 We can perform analysis on the simulation model VALID

only when the model is …

9 Which of the following can be considered a queuing A supermarket, A production line, A warehouse, A airport
system?

10 Give some examples of RANDOM INPUTS of a Interarrival time; Arrival rate; The service time; Breakdown
queuing system? Cụ thể time.

11 Give some examples of random OUTPUTS used to Average waiting time in queue; Average number of customers
evaluate a queuing system? in queue; Response time; Probability of Idle system; Probability
of waiting;
Average time between arrival; Average service time; Time
spent in system…

12 Give some examples of RANDOM FACTORS in Demand; Lead time; Quantity.

inventory management?

13 Give some examples of random OUTPUTS used to Average inventory level; profit; ending inventory; Stockout rate
evaluate an inventory management system? Optimal order quantity; When a shortage condition occurs.

14 What is the role of RANDOM NUMBER in Used to generate random variates (dùng RN để assign 1
simulation? probability rồi tính inverse lại với giá trị probability đó thì giá
trị variates là bao nhiêu)

15 Which simulation WORLD VIEW is used in process interaction ≠ event scheduling (chừng nào có event
ARENA? mới làm)
→ cách tạo ra cái model; cách sắp xếp các process.

16 Where can you define VARIABLEs in ARENA? Assign module Commented [1]: nhập cái này cho chắc ăn có
điểm nhen
17 Where can you define ATTRIBUTE in ARENA? Assign module Commented [2]: same
18 Which of the following can be a VARIABLE in processing time; number of staff; queue length; WIP in system
simulation?

19 Which of the following can be an ATTRIBUTE of arrival time; processing time; time in system
entities?

20 Which of the following is a tally statistic? Cycle, waiting, time in system

21 M =9; a = 2; c = 0; xo = 1 0.22 0.44 (R1 = 2/9; R2 = 4/9)

22 Use the K-S test to test these numbers: 0.44, 0.81, (1)0.44 (2)0.93 (3)0.44 (4)0.93 (5)0.6 (6)1 (7)0.16 (8)0.07
0.14, 0.05, 0.93. Fill the blanks in the table (9)0.04 (10)0.13
Ri 0.05 0.14 0.44 0.81 0.93
F(Ri) = Ri 0.05 0.14 0.44 0.81 0.93
P(Ri) = i/N 0.20 0.40 0.60 0.80 1.00
i/N - Ri 0.15 0.26 0.16 - 0.07
Ri - (i-1)/N 0.05 - 0.04 0.21 0.13

23 Ri 0.05 0.14 0.44 0.81 0.93 0.26 0.51 accept H0

F(Ri) = Ri 0.05 0.14 0.44 0.81 0.93 D = 0.26
P(Ri) = i/N 0.20 0.40 0.60 0.80 1.00 D0.01 = 0.510
Conclusion: not rejected
i/N - Ri 0.15 0.26 0.16 - 0.07
Ri - (i-1)/N 0.05 - 0.04 0.21 0.13
D=…
D0.01 = …
Conclusion: …

24 Test the autocorrelation of the numbers in the circle, = 2 4 30 6

i-l-N-M

25 Which of the following can be considered a queuing Cả 4 hình

system?

26 What are the characteristics of RANDOM uniform distribution in range (0,1); independent
NUMBERS used in simulation?

27 Which of the following is the distribution of

Random Numbers?

28 Giving 50 Random numbers. Using Chi-square test (1)7 (2)10 (3)9 (4)10
with 5 intervals. Fill in the blanks (1) (2) (3) (4)

0.34 0.90 0.25 0.89 0.87

0.83 0.76 0.79 0.64 0.70

0.96 0.99 0.77 0.67 0.56

0.47 0.30 0.17 0.82 0.56

 0.79 0.71 0.23 0.19 0.82

0.99 0.17 0.99 0.46 0.05

0.37 0.51 0.54 0.01 0.81

0.72 0.43 0.56 0.97 0.30

0.06 0.39 0.84 0.24 0.40

0.18 0.26 0.97 0.88 0.64

Interval Oi Ei (Oi-Ei)2/Ei

1 (1) (2)

2 (3) (4)

29 3.4 14.7 accept H0

𝑋20 = …
𝑋20.1 = …
Conclusion:...

30 2 4 30 6
i=2
l=4
N = 30
Test the autocorrelation of the numbers in the circle M=6 Commented [3]: trùng câu 24 nè
i=…
l=…
N=…
M=…

31 What is the difference between Random Numbers all of the regularly used distributions and some computer
and Random Variates? installations do not have random-variate generation libraries; in
such cases the modeler must construct an acceptable routine.
Even though the chance of this happening is small, it is
nevertheless worthwhile to understand how random variate
generation occurs. Commented [4]: này t viết sai á, câu trả lời là
Random Number use follow UNIF in range (0,1)
Random Variate can use other distribution (TRIA,
EXPO, etc)
32 0.57 2.77

X~Exponential (0.5)
Generate 2 values of X using R1 = 0.25, R2 = 0.75

33 1.5 2.5

X~Uniform(1,3)
Generate 2 values of X using R1=0.25, R2=0.75

34 0.57 2.77

X~WEIBULL(2,1)
Generate 2 values of X using R1=0.25, R2=0.75

35 12
X1 = 1
X2 = 2

X is a discrete variable that follows the distribution

in the table. Generate 2 values of X using R1=0.25,
R2=0.75

36 12

X is a discrete variable that follows the distribution

in the table. Generate 2 values of X using Random
digit assignment technique with R1 = 0.25, R2 =
0.75
37 01
X1 = 0
X2 = 1

X is a discrete variable that follows POISON(0.5).

Generate 2 values of X using R1 = 0.25, R2 = 0.75,
R3 = 0.45

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