OPERATIONS MANAGEMENT:
Creating Value Along the Supply Chain,
Canadian Edition
Robert S. Russell, Bernard W. Taylor III, Ignacio Castillo, Navneet Vidyarthi
CHAPTER 13
SUPPLEMENT
Operational Decision-Making Tools:
Simulation
Supplement 13-1
Lecture Outline
Monte Carlo Simulation
Computer Simulation with Excel
Areas of Simulation Application
Supplement 13-2
Simulation
Mathematical and computer modeling technique
for replicating real-world problem situations
Modeling approach primarily used to analyze
probabilistic problems
It does not normally provide a solution; instead it provides
information that is used to make a decision
Physical simulation
Space flights, wind tunnels, treadmills for tires
Mathematical-computerized simulation
Computer-based replicated models
Supplement 13-3
Monte Carlo Simulation
Select numbers randomly from a probability
distribution
Use these values to observe how a model
performs over time
Random numbers each have an equal likelihood
of being selected at random
Supplement 13-4
Probability Distribution of Demand
LAPTOPS DEMANDED
PER WEEK, x
0
1
2
3
4
FREQUENCY OF
DEMAND
PROBABILITY OF
DEMAND, P(x)
20
40
20
10
10
0.20
0.40
0.20
0.10
0.10
100
1.00
Supplement 13-5
Roulette Wheel of Demand
0
90
x=4
80
x=0
20
x=3
x=2
x=1
60
Supplement 13-6
Generating Demand from
Random Numbers
DEMAND,
x
0
1
2
3
4
RANGES OF RANDOM NUMBERS,
r
0-19
20-59
60-79
80-89
90-99
r = 39
Supplement 13-7
Random Number Table
Supplement 13-8
15 Weeks of Demand
WEEK
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
r
39
73
72
75
37
02
87
98
10
47
93
21
95
97
69
DEMAND (x)
REVENUE (S)
1
2
2
2
1
0
3
4
0
1
4
1
4
4
2
4,300
8,600
8,600
8,600
4,300
0
12,900
17,200
0
4,300
17,200
4,300
17,200
17,200
8,600
= 31
$133,300
Supplement 13-9
Computing Expected Demand
Estimated average demand = 31/15 = 2.07 laptops/week
E(x)
•
•
= (0.20)(0) + (0.40)(1) + (0.20)(2)
+ (0.10)(3) + (0.10)(4)
= 1.5 laptops per week
Difference between 1.5 and 2.07 is due to small number of periods analyzed
(only 15 weeks)
Steady-state result
•
average result which stays constant after enough trials
Supplement 13-10
Random Numbers in Excel
Supplement 13-11
Simulation in Excel
Enter this formula
in G6 and copy to
G7:G20
Enter “=4300*G6”
in H6 can copy to
H7:H20
=AVERAGE(G6:G20)
Generate random
number for cells
F6:F20 with the
formula “=RAND()”
in F6 and copying
to F7:F20
Supplement 13-12
Simulation in Excel
Spreadsheet “frozen”
at row 16 to show
first 10 weeks
and last 6
Supplement 13-13
Decision Making with Simulation
This formula entered in
G7 and copied to
G8:G105
=G6*50 entered into
cell L6 and copied
to L7:L105
=VLOOKUP
(F6,LOOKUP,2)
in H6 and copied
to H7:H105
Shortages computed
by entering
=MIN(G6-H6,0)
in I6 and copying
to I7:I105
Supplement 13-14
Decision Making with Simulation
New formula for two
laptops ordered
per week.
Supplement 13-15
Areas of Simulation Application
Waiting Lines/Service
Complex systems for which it is difficult to develop
analytical formulas
Determine how many registers and servers are needed
to meet customer demand
Inventory Management
Traditional models make the assumption that customer
demand is certain
Simulation is widely used to analyze JIT without having to
implement it physically
Supplement 13-16
Areas of Simulation Application
Production and Manufacturing Systems
Production scheduling, production sequencing, assembly
line balancing, plant layout, and plant location analysis
Machine breakdowns typically occur according to some
probability distributions
Capital Investment and Budgeting
Capital budgeting problems require estimates of cash
flows, often resulting from many random variables
Simulation has been used to generate values of cash
flows, market size, selling price, growth rate, and market
share
Supplement 13-17
Areas of Simulation Application
Logistics
Random variables include, distance, transport modes,
shipping rates, and schedules
Allows analysis of different distribution channels
Service Operations
Police departments, fire departments, post offices,
hospitals, court systems, airports
Complex operations where only simulation can be
employed
Environmental and Resource Analysis
Impact of manufacturing plants, waste-disposal facilities,
nuclear power plants, waste and population conditions,
feasibility of alternative energy sources
Supplement 13-18
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