SLIDE 1
Simulation
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
2
Simulation Simulation CHAPTER 1 INTRODUCTION TO SIMULATION 2 - - PowerPoint PPT Presentation
Simulation Simulation CHAPTER 1 INTRODUCTION TO SIMULATION 2 - - PowerPoint PPT Presentation
Introduction to Simulation Simulation CHAPTER 1 INTRODUCTION TO SIMULATION 2 MODELING CHAPTER 1 INTRODUCTION TO SIMULATION 3 MODELING Simulation Modeling Paradigm that creates simplified representations of complex systems Generates
SLIDE 2
SLIDE 3
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
3
SLIDE 4
Simulation Modeling
Paradigm that creates simplified representations of complex systems Generates system histories and observes system behavior and statistics over time Goals are understanding system performance and improving system design
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
4
SLIDE 5
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
5
SLIDE 6
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
6
SLIDE 7
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
7
SLIDE 8
System vs. Its Model
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
8
- Simplification
- Abstraction
- Assumptions
Real System Model
SLIDE 9
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
9
SLIDE 10
Model Classification
Physical (prototypes) Analytical (mathematical) Computer
(Monte Carlo Simulation)
Descriptive (performance analysis) Prescriptive (optimization)
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
10
SLIDE 11
Physical (Prototypes)
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
11
SLIDE 12
Analytical (Mathematical)
2
1
q q q
W W L W
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
12
Single Stage Queuing Model 1 W L W
1 ) ( n N P
n
SLIDE 13
Computer
(Monte Carlo Simulation)
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
13
SLIDE 14
Descriptive (Performance analysis)
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
14
Simulation vs. Real World
SLIDE 15
Prescriptive (Optimization)
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
15
SLIDE 16
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
16
SLIDE 17
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
17
SLIDE 18
Simulation by Hand: The Buffon Needle Problem
Estimate π (George Louis Leclerc, c. 1733)
- Toss needle of length lonto table
with stripes d(>l) apart
- P (needle crosses a line) =
- Repeat; tally = proportion of
times a line is crossed
- Estimate π by
Check this link that illustrates the idea
- f the Buffle Needle problem.
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
18
SLIDE 19
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
19
SLIDE 20
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
20
SLIDE 21
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
21
SLIDE 22
Ready simulators – specific tasks Energy Plus
Study the effect of early design decisions such a orientation, shape and façade layout on the energy efficiency of their projects
CHAPTER 1 INTRODUCTION TO SIMULATION MODELING
22