Chapter 1 - Introduction to Simulation Flashcards

1
Q

What is a simulation?

A

The imitation of the operation of a real-world pross or system over time

(uses mathematical models to simulate behaviour)

motivated by ‘what if’ questions about the real-world systems

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2
Q

Why use simulations?

A
  • to study complex system and its internal interactions
  • to observe the effect of informational, organizational, and environmental changes on a system’s behaviours
  • to improve the performance of a system
  • to verify analytic solutions
  • to help visualize a system
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3
Q

When to not simulate?

A
  • can solve problem with common sense
  • can solve problem analytically
  • if experiment is less expensive
  • simulation is more expensive than potential savings from the simulation results
  • no data is available for system
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4
Q

Advantages of simulation

A
  • can study system for new features or scenarios without disrupting the real system
  • testing of new products
  • feasibility studies
  • ‘what if’ questions answered
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5
Q

Disadvantages of simulation

A
  • special training required for model building
  • can be difficult to interpret
  • can be time consuming and expensive
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6
Q

Examples of application areas

A
  • industrial manufacturing
  • semiconductor fabrication
  • business processing
  • engineering and project management
  • operations research
  • military
  • health care
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7
Q

What is a system?

A
  • A GROUP OF OBJECTS THAT ARE JOINED TOGETHER IN REGULAR INTERACTIONS OR INTERDEPENDENCE TOWARDS THE ACCOMPLISHMENT OF SOME PURPOSE
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8
Q

Entity

A

object of interest

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9
Q

attribute

A

property of entity (ex. type of customer/type of account)

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10
Q

Activity

A

duration of time

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11
Q

state

A

represented by state variables (state of the system)
- a collection of variables that relate the state of the system depending on the input (ex. # busy tellers or length of line)

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12
Q

event

A

incident that changes the state of a system (ex. arrival of a new customer)

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13
Q

delay

A

unwanted wait time

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14
Q

discrete system

A

state variables take only discrete values

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15
Q

continuous system

A

state variables change continuously over time

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16
Q

What is a model?

A

a representation of a system for the purpose of studying that system

  • a simplification of a system (may have/need different models of the same system to investigate different parts of the system)
  • model should be sufficiently realistic to obtain valid conclusions about the actual system
  • NO MODEL IS PERFECT
17
Q

static model

A

equation is regulated by algebraic equation (ex. V = IR)

18
Q

dynamic model

A

differential equations
- needs past inputs to calculate (initial conditions of model)

19
Q

Deterministic model

A

systems have a single output (no randomness)

20
Q

stochastic model

A

uses statistical distributions to predict certainty of results

21
Q

Steps in a simulation study

A
  1. problem formulation
  2. setting of objectives and overall project plan
  3. model conceptualization
  4. data collection
  5. model translation
  6. verify model
  7. Experimental design
  8. production runs and analysis
  9. more runs
  10. documentation and reporting
  11. implementation

(this is an iterative process)