M&S2
Week 1
Simulation: limitation of the operation of a real-world process or system
over time
- Decision making tool
- Applied to complex systems that are impossible to solve
mathematically
System: defined as a set of interrelated components working together
toward some common objective
- Airprot ops
- ATC
DES: descrete event system simulation
Model: simplified representation of the system of which we are interested
in study/modify/predict its behaviour or performance
- Behavior evolves over time is studies by developing a simulation
model
- Model assumptions
Mathematical, logical, symbolic
,Components of a system
System:
- Banking, production, communication, airport operations
Components
- Entity: object of interest in the system (machines in factory,
passengers)
- Attribute: property of an entity (speed, capacity)
- Activity: time period (travelling, withdrawing)
- Event: instantaneous occurrence that may change state of system
(breakdown, arrival, departure)
- State: collection variables that describe the system in any time
(status of machine)
Steps in simulation
1. Problem formulation
2. Setting objectives and overall project plan
3. Model conceptualization
4. Data collection
5. Model translation
6. Verification
Did we build the model right?
7. Validation
Did we build the right model?
8. Experimental design
9. Production runs and analysis
10. More runs?
11. Documentation and reporting
12. Implementation
Phase 1 – initial phase
Phase 2 – model building & data collection
Phase 3 – run the model
Phase 4 - Implementation
Model development is an iterative process
, Week 1, les 2.
Starting a simulation:
Source (beginning) and sink (end)
Links: travel path
- Connector
Zero-time transfer
- Time path
Travel time, capacity, selection weight
- Path
Individual entity travels speeds with speed limit
Travel capacity
Nodes: define starting and ending point for links
- Basic node: fixed capacity
- Transfer node (blue): passengers direction can be changed
Entity
Week 1
Simulation: limitation of the operation of a real-world process or system
over time
- Decision making tool
- Applied to complex systems that are impossible to solve
mathematically
System: defined as a set of interrelated components working together
toward some common objective
- Airprot ops
- ATC
DES: descrete event system simulation
Model: simplified representation of the system of which we are interested
in study/modify/predict its behaviour or performance
- Behavior evolves over time is studies by developing a simulation
model
- Model assumptions
Mathematical, logical, symbolic
,Components of a system
System:
- Banking, production, communication, airport operations
Components
- Entity: object of interest in the system (machines in factory,
passengers)
- Attribute: property of an entity (speed, capacity)
- Activity: time period (travelling, withdrawing)
- Event: instantaneous occurrence that may change state of system
(breakdown, arrival, departure)
- State: collection variables that describe the system in any time
(status of machine)
Steps in simulation
1. Problem formulation
2. Setting objectives and overall project plan
3. Model conceptualization
4. Data collection
5. Model translation
6. Verification
Did we build the model right?
7. Validation
Did we build the right model?
8. Experimental design
9. Production runs and analysis
10. More runs?
11. Documentation and reporting
12. Implementation
Phase 1 – initial phase
Phase 2 – model building & data collection
Phase 3 – run the model
Phase 4 - Implementation
Model development is an iterative process
, Week 1, les 2.
Starting a simulation:
Source (beginning) and sink (end)
Links: travel path
- Connector
Zero-time transfer
- Time path
Travel time, capacity, selection weight
- Path
Individual entity travels speeds with speed limit
Travel capacity
Nodes: define starting and ending point for links
- Basic node: fixed capacity
- Transfer node (blue): passengers direction can be changed
Entity
