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• Systems and System Environment.
• Components of a System.
• Classification of Systems.
• Steps in a Simulation Study.
Chapter 1: Introduction
Modeling and Simulation
1
Systems
Modeling and Simulation
2
• The term system is derived from the Greek word
systema, which means an organized relationship among
functioning units or components. It is used to describe
almost any ordered arrangement of ideas or construct.
• A system is any set of interrelated components acting
together to achieve a common objective.
• A system is defined as a group of objects that are joined
in some regular interaction or interdependence toward
the accomplishment of some purpose.
Systems
Modeling and Simulation
3
• The collection of entities that compose a system for one
study might be only a subset of another larger system.
 For example, if one wants to study a banking system
to determine the number of tellers needed to provide
adequate service for customers who want just to
encash or deposit, the system can be defined to be
that portion of the bank comprising of the tellers and
the customers. Additionally, if, the loan officer and
the safety deposit counters are to be included, then
the definition of the system must be more inclusive
accordingly.
System Environment
Modeling and Simulation
4
• Asystem is characterized by the following attributes:
o System boundary.
o System components and their interactions.
o Environment.
System Environment
Modeling and Simulation 5
• A system is often affected by changes occurring outside
the system. Such changes are said to occur in the system
environment.
 Factory :Arrival orders
Effect of supply on demand: relationship
factory output and arrival (activity of system).
 Banks :Arrival of customers
between
System Environment
Modeling and Simulation
6
• In modeling systems, it is necessary to decide on the
boundary between the system (i.e., part of system) and
its environment. This decision may depend on the
purpose of the study.
• System component is a fundamental building block. It
is quite easy to find the input–output relations for the
system components with the help of some fundamental
laws of physics, which is called the mathematical model
for components. It may be written in the form of
difference or differential equations. They are simple and
easily understandable.
System Environment
Modeling and Simulation
7
• A living organism is a system. Organisms are open
systems: they cannot survive without continuously
exchanging matter and energy with their environment.
When we separate a living organism from its
surrounding, it will die shortly due to lack of oxygen,
water, and food.
• This interaction has two components: input, that is, what
enters the system from outside the boundary, and output,
that is, what leaves the system boundary to the
environment.
System Environment
Modeling and Simulation 8
• In order to speak about the inside and the outside of a
system, we need to be able to distinguish between the
system and its environment, which is in general
separated by a boundary (for example, living systems,
skin is the boundary). The output of a system is generally
a direct or indirect result to a given input.
System Environment
Modeling and Simulation
9
• Every system consists of subsystem or components at
lower levels and supersystems at higher levels.
Components of a System
Modeling and Simulation
10
• An entity is an object of interest in the system.
 Machines in factory.
 Customers in Bank.
• An attribute is a property of an entity.
 Speed, capacity.
 Balance in customer accounts.
• An activity represents a time period of specified length.
 Welding, stamping.
 Making deposits.
Components of a System
Modeling and Simulation 11
• The state of a system is defined to be that collection of
variables necessary to describe the system at any time,
relative to the objectives of the study.
 Status of machine (busy, idle, down,…)
 In the study of a bank, possible state variables are the number
of busy tellers, the number of customers waiting in line or
being served, and the arrival time of the next customer.
Components of a System
Modeling and Simulation 12
• An event is defined as an immediate occurrence that
might change the state of the system. The term
endogenous is used to describe activities and events
occurring within a system, and the term exogenous is
used to describe activities and events in the environment
that affect the system.
 In the bank study, the arrival of a customer is an exogenous
event, and the completion of service of a customer is an
endogenous event.
Components of a System
Modeling and Simulation
13
• Examples of entities, attributes, activities, events, and
state variables for several systems.
Classification of Systems
Modeling and Simulation
14
• Systems can be classified based on time frame, type of
measurements taken, type of interactions, nature, type of
components, etc.
• According to the Time Frame:
 Discrete
 Continuous
 Hybrid
Classification of Systems
Modeling and Simulation
15
Adiscrete system:
The state variable(s) change only at discrete points in time,
for example, queuing systems (bank, telephone network,
traffic lights, machine).
Classification of Systems
Modeling and Simulation
16
Acontinuous system:
The state variable(s) change continuously over time. An
example is the head of water behind a dam, solar system,
charging a battery.
Classification of Systems
Modeling and Simulation 17
Ahybrid system:
A hybrid system is a combination of continuous and
discrete dynamic system behavior. A hybrid system has the
benefit of encompassing a larger class of systems within its
structure, allowing more flexibility in modeling continuous
and discrete dynamic phenomena, for example, traffic
along a road with traffic lights.

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Modeling&Simulation_Ch01_lecture 2.pptx

  • 1. • Systems and System Environment. • Components of a System. • Classification of Systems. • Steps in a Simulation Study. Chapter 1: Introduction Modeling and Simulation 1
  • 2. Systems Modeling and Simulation 2 • The term system is derived from the Greek word systema, which means an organized relationship among functioning units or components. It is used to describe almost any ordered arrangement of ideas or construct. • A system is any set of interrelated components acting together to achieve a common objective. • A system is defined as a group of objects that are joined in some regular interaction or interdependence toward the accomplishment of some purpose.
  • 3. Systems Modeling and Simulation 3 • The collection of entities that compose a system for one study might be only a subset of another larger system.  For example, if one wants to study a banking system to determine the number of tellers needed to provide adequate service for customers who want just to encash or deposit, the system can be defined to be that portion of the bank comprising of the tellers and the customers. Additionally, if, the loan officer and the safety deposit counters are to be included, then the definition of the system must be more inclusive accordingly.
  • 4. System Environment Modeling and Simulation 4 • Asystem is characterized by the following attributes: o System boundary. o System components and their interactions. o Environment.
  • 5. System Environment Modeling and Simulation 5 • A system is often affected by changes occurring outside the system. Such changes are said to occur in the system environment.  Factory :Arrival orders Effect of supply on demand: relationship factory output and arrival (activity of system).  Banks :Arrival of customers between
  • 6. System Environment Modeling and Simulation 6 • In modeling systems, it is necessary to decide on the boundary between the system (i.e., part of system) and its environment. This decision may depend on the purpose of the study. • System component is a fundamental building block. It is quite easy to find the input–output relations for the system components with the help of some fundamental laws of physics, which is called the mathematical model for components. It may be written in the form of difference or differential equations. They are simple and easily understandable.
  • 7. System Environment Modeling and Simulation 7 • A living organism is a system. Organisms are open systems: they cannot survive without continuously exchanging matter and energy with their environment. When we separate a living organism from its surrounding, it will die shortly due to lack of oxygen, water, and food. • This interaction has two components: input, that is, what enters the system from outside the boundary, and output, that is, what leaves the system boundary to the environment.
  • 8. System Environment Modeling and Simulation 8 • In order to speak about the inside and the outside of a system, we need to be able to distinguish between the system and its environment, which is in general separated by a boundary (for example, living systems, skin is the boundary). The output of a system is generally a direct or indirect result to a given input.
  • 9. System Environment Modeling and Simulation 9 • Every system consists of subsystem or components at lower levels and supersystems at higher levels.
  • 10. Components of a System Modeling and Simulation 10 • An entity is an object of interest in the system.  Machines in factory.  Customers in Bank. • An attribute is a property of an entity.  Speed, capacity.  Balance in customer accounts. • An activity represents a time period of specified length.  Welding, stamping.  Making deposits.
  • 11. Components of a System Modeling and Simulation 11 • The state of a system is defined to be that collection of variables necessary to describe the system at any time, relative to the objectives of the study.  Status of machine (busy, idle, down,…)  In the study of a bank, possible state variables are the number of busy tellers, the number of customers waiting in line or being served, and the arrival time of the next customer.
  • 12. Components of a System Modeling and Simulation 12 • An event is defined as an immediate occurrence that might change the state of the system. The term endogenous is used to describe activities and events occurring within a system, and the term exogenous is used to describe activities and events in the environment that affect the system.  In the bank study, the arrival of a customer is an exogenous event, and the completion of service of a customer is an endogenous event.
  • 13. Components of a System Modeling and Simulation 13 • Examples of entities, attributes, activities, events, and state variables for several systems.
  • 14. Classification of Systems Modeling and Simulation 14 • Systems can be classified based on time frame, type of measurements taken, type of interactions, nature, type of components, etc. • According to the Time Frame:  Discrete  Continuous  Hybrid
  • 15. Classification of Systems Modeling and Simulation 15 Adiscrete system: The state variable(s) change only at discrete points in time, for example, queuing systems (bank, telephone network, traffic lights, machine).
  • 16. Classification of Systems Modeling and Simulation 16 Acontinuous system: The state variable(s) change continuously over time. An example is the head of water behind a dam, solar system, charging a battery.
  • 17. Classification of Systems Modeling and Simulation 17 Ahybrid system: A hybrid system is a combination of continuous and discrete dynamic system behavior. A hybrid system has the benefit of encompassing a larger class of systems within its structure, allowing more flexibility in modeling continuous and discrete dynamic phenomena, for example, traffic along a road with traffic lights.