Brainscape's Knowledge GenomeTM


Top Flashcards (Certified)
All Flashcards

System Simulation > Quiz 1/Prelims > Flashcards

Quiz 1/Prelims Flashcards

(53 cards)

Start Studying
1
Q
  • Imitation of the operation of a real-world process or system overtime.
  • Done by hand or on computer
    -Involves artificial history of a system, and the observation of that artificial history to draw inferences concerning the operating characteristics of the real system
A

Simulation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world

A

Simulation Modelling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

A mathematical model that calculates the impact of uncertain inputs and the decisions we make on the outcomes that we care about (such as profit, loss, investment returns, etc.)

A

Simulation Model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Simulation model includes:
- Are the (uncertain) numbers/variables

A

Model Inputs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Simulation Model Includes: Numerical Parameters

A

Intermediate Calculations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Simulation Model Includes:
- These are the function of interest
- Simulation Modelling can be used for both analysis tool for predicting the effect of changes to existing systems, and as a design tool to predict the performance of new systems under varying sets of circumstances

A

Model Outputs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
  • it enables the study o, and experimentation with, the internal interactions of a complex system, or of a subsystem within a complex system
    Ex. System Dynamics - Growth and Underinvestment
A

When Simulation is the Appropriate Tool

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Challenges and Limitations of Simulation:
Large-scale simulations require high computing power.

A

Computational Complexity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Challenges and Limitations of Simulation:
Poor input data can lead to misleading results

A

Data Accuracy & Assumptions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Challenges and Limitations of Simulation:
Misinterpretation can lead to incorrect decisions

A

Interpretation of Results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Main Types of Simulation:
- Model Systems where event occurs at specific points in time.
- Bank teller queue simulation, traffic lights control in urban planning

A

Discrete-Event Simulation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Main Types of Simulation:
- Model systems that change continuously over time rather than in discrete steps.
- Climate modeling for weather predictions, Fluid dynamics simulations

A

Continuous Simulation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Main Types of Simulation: ex. Discrete event for patient arrivals and continuous simulation for disease progression

A

Hybrid Simulation (combination of discrete and continuous - Complex systems)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Areas of Application:
- Simulating patient flow in emergency rooms
- Drug testing simulations before clinical trials

A

Healthcare

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Areas of Application:
- Production line optimization
- Design of a toll plaza
- Choosing between rental-car locations

A

Manufacturing & Logistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Areas of Application:
- Bank connection redesign on airport gate assignment
- Personnel forecasting and strategic workforce planning

A

Business Process Simulation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Areas of Application:
- Crash test (virtual car) for Designing safer cars
- Testing proposed bridge design

A

Safety and Construction Engineering

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Are groups of objects that are joined together in some regular interaction or interdependence toward the accomplishment of some purpose.

A

System

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

In modeling systems, it is necessary to decide on the boundary between the system and its environment
ex. Automobile manufacturing system (the machines, components, parts, and workers operate jointly along the assembly line to produce a vehicle)

A

System and System Environment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

A component of a system where objects of interest in the system

A

Entity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

A component of a system where property of an entity

A

Attribute

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

A component of a system where an activity with a time period of specified length

23
Q

A component of a system where collection of variables necessary to describe the system at the any time (relative to the objectives of the study)

Study These Flashcards
A

State (variables)

24
Q

A component of a system of instantaneous occurrences that may change the system

25
A component of a system that is under Event where activities/events occurring within the system
Endogenous
26
A component of a system that is under Event where activities/events in the environment that affect the system
Exogenous
27
A _____ is a the representation of the real-world system for the purpose of studying that system.
Model
28
A model of a system (Monte Carlo Simulation) represents a system at a particular point in time ex. car failure probability based on component failure data
Static/Dynamic Models
29
A component of a system that where it represents the system as they change over time ex. bank simulation from 9:00AM to 4:00PM, traffic flow simulation from 6:00AM to 11:00PM
Deterministic/Stochastic models
30
A component of a system that where have known set of inputs which will result on a unique set of output ex. arrivals at a dentist's office if all patients arrive at a schedule appointed time
Discrete/Continuous models
31
A component of a system that where it has one or more random variables as inputs (random inputs lead to random output) ex. Random inter-arrival times and random service times in a bank (output) average no. of people waiting, average no. of waiting time
Stochastic model
32
A component of a system that where the state variables change only at a discrete set of point in time
Discrete model
33
A component of a system that where the state variables change continuously over time ex. Water level of a dam with a lake behind the dam affected by weather through rain storm and evaporation
Continuous model
34
A step in a simulation study where it must be clear for analytics and policy makers
Problem Formulation
35
A step in simulation study where determination whether simulation is the appropriate methodology for the problem as formulated in the objectives
Setting Objective and overall project plan
36
A step in simulation study where model building is as much as art as science. Start with as simple model and build towards greater complexity
Model conceptualization
37
A step in simulation study where the objectives of the study dictate what kind of data needs to be collected
Data collection
38
A step in simulation study where selection of the application on where the model will be simulated (Arena, AutoMod, ProModel, Taylor Enterprise Dynamics, etc.)
Model Translation
39
A step in simulation study where qusetion to be answered: is the computer program performing properly? (correct input parameters are checked with debugging)
Model Verification
40
A step in simulation study where the model an accurate representation of the real-system under study? Validation is usually achieved through model calibration (iterative model comparison of digital system to actual system behavior)
Model Validation
41
A step in simulation study where the alternatives that are to be simulated must be determined
Experimental Design
42
A step in simulation study where the runs and analysis are used to estimate the measures of performance for the system designs that are being simulated.
Production runs and analysis
43
A step in simulation study where the analyst determines if additional runs are needed and what design those additional experiments should follow.
More runes?
44
A step in simulation study where it has two types of Documentation
Documentation and reporting
45
A step in simulation study under Documentation and reporting that is necessary for understanding the program and possible future modifications. Parameter changes could analyze output measure of performance
Program documentation
46
A step in simulation study where it is under Documentation and reporting that is written history of a simulation project.
Progress documentation
47
A step in simulation study where if the model user has been thoroughly involved and understands the nature of the model and its outputs, the likelihood of vigorous implementation is enhanced.
Implementation
48
is a powerful modeling technique used to represent and analyze complex systems where changes occur at discrete points in time.
Discrete event simulation
49
An Application of Discrete event simulation where optimizing production lines, reducing bottlenecks, and improving resource allocation
Manufacturing and production
50
An Application of Discrete event simulation where scheduling surgeries, managing patient flow, and optimizing staff allocation
Healthcare and Hospital Management
51
An Application of Discrete event simulation where designing efficient transportation networks, managing warehouse operations, and optimizing supply chains.
Transportation and Logistics
52
An Application of Discrete event simulation where modeling network traffic, optimizing resource allocation, and improving service quality
Telecommunications
53
An Application of Discrete event simulation where analyzing supply chain dynamics, reducing lead times, and managing inventory levels
Supply Chain Management

System Simulation (1 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2025 Bold Learning Solutions. Terms and Conditions