IE 305 • Tüm Sınavlar • Simulation

Introduction to Simulation

Advantages and Disadvantages of Simulation

Simulation Types

System Components

Example - Simulation Components

Classification of Systems

Introduction

Scheduling Rules

Example 1 - Scheduling Rules

Example 2 - Scheduling Rule

M(t) and B(t)

M(t) and B(t) Graph Drawing Practice 1

M(t) and B(t) Graph Drawing Practice 2

M(t) and B(t) Graph Drawing Practice 3

Utilization Calculation

Example - Utilization Calculation

Introduction

1/2/n server system

Hand Simulation Concepts 1

Hand Simulation Concepts 2

Performance Measure WQ and TS

Hand Simulation Concept- Example

Performance Measure Q(t) and B(t)

Performance Measures - Example

Hand Simulation Concept- Table Fill Example

Simulation By Hand

Hand Simulation - Drilling Center Example

Hand Simulation Logic

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Simulation Components Question 1

Simulation Components Questions 2

Simulation Basics Question 1

Simulation Basics Question 2

Clasification of Systems Question 1

Clasification of Systems Question 2

Introduction to Simulation- Mixed Question 1

Introduction to Simulation- Mixed Question 2

Introduction to Simulation- Mixed Question 3

Introduction to Simulation- Mixed Question 4

Introduction to Simulation- Mixed Question 5

Introduction to Simulation- Mixed Question 6

Introduction to Simulation- Mixed Question 7

Utilization Question 1

Utilization Question 2

Utilization Question 3

Utilization Question 4

Utilization Question 5

Utilization Question 6

Utilization Question 7

Hand Simulation Concept- Question 1

Hand Simulation Concept- Question 2

Hand Simulation Concept Question 3

Hand Simulation Concept Question 4

Event Base Simulation - Question 1

Event Base Simulation - Question 2

Event Base Simulation - Question 3

Event Base Simulation - Question 4

Event Base Simulation - Question 5

Event Base Simulation - Question 6

Event Base Simulation - Question 7

Event Base Simulation - Question 8

Event Base Simulation - Question 9

Event Base Simulation (Python) - Question 1

Event Base Simulation (Python) - Question 2

Event Base Simulation (Python) - Question 3

Introduction

Inverse Transform Method

Inverse Transform Method T/F Example

Inverse Transform Method-Example

Emprical Distribution

Emprical Distribution Example

Frequency Distribution

Frequency Distribution Example

Random Numbers in Pyton

Example 1

Example 2

Example 3

Example 4

Introduction

Hypothesis Testing

Generating Null and Alternative Hypothesis Practice 1

Generating Null and Alternative Hypothesis Practice 2

Reject or Not Reject Ho

Hypothesis Testing Example

Introduction

Reminder 1

Reminder 2

Method of Moment

Example 1 -Method of Moments (Exponential)

Example 2- Method of Moments (Normal)

Maximum Likelihood Estimation

Example 3 - Maximum Likelihood (Exponential)

Example 4- Maximum Likelihood (Normal)

Example 5 - Mixed (Uniform)

Inverse Transform Method- Exponential 1

Inverse Transform Method- Exponential 2

Inverse Transform Method- Exponential 3

Inverse Transform Method- Uniform 1

Inverse Transform Method- Uniform 2

Inverse Transform Method- Uniform 3

Inverse Transform Method- with a given distribution 1

Inverse Transform Method- with a given distribution 2

Inverse Transform Method- with a given distribution 3

Inverse Transform Method- discrete 1

Inverse Transform Method- discrete 2

Inverse Transform Method- discrete 3

Inverse Transform Method- Binomial

Inverse Transform Method- Triangular

Inverse Transform Method Mixed Question

Inverse Transform Method Mixed Question 2

Inverse Transform Method + Basic Rejection Technique Mixed Question

Emprical Distribution Question 1

Emprical Distribution Question 2

Emprical Distribution Question 3

Emprical Distribution Question 4

Emprical Frequency Distribution Question 1

Emprical Frequency Distribution Question 2

Event Base Simulation + Inverse Transform Method Question 1

Event Base Simulation + Inverse Transform Method Question 2

Monte Carlo Simulation Question

Hypothesis Testing Question 1

Hypothesis Testing Question 2

Hypothesis Testing Question 3 - Variance

Unbiased Estimator Question

Method of Moments (Exponential) Question

Method of Moments (Normal) Question

Method of Moments (Poisson) Question

Maximum Likelihood (Exponential) Question 1

Maximum Likelihood (Exponential) Question 2

Maximum Likelihood (for a given pdf) Question 1

Maximum Likelihood (for a given pdf) Question 2

Maximum Likelihood (for a given pdf) Question. 3

Maximum Likelihood (for a given pdf) Question 4

Maximum Likelihood (for a given pdf) Question 5

Parameter Estimation - Mixed Questions 1 (Bernoulli)

Parameter Estimation -Mixed Questions 2 (Geometric)

Parameter Estimation -Mixed Questions 3 (T/F)

Parameter Estimation -Mixed Question 4 (Uniform)

Create Module

Example 1 - Create Module (on paper)

Example 1 - Create Module (on computer)

Example 2 - Create Module (on paper)

Example 2 - Create Module (on computer)

Example 3 - Create Module (on paper)

Example 3 - Create Module (on computer)

Process Module

Example 4 - Process Module (on paper)

Example 4 - Process Module (on computer)

Example 5 - Process Module (on paper)

Example 5 - Process Module (on computer)

Example 6 - Process Module (on paper)

Example 6 - Process Module (on computer)

Dispose Module

Exam Like Question 1 (on paper)

Exam Like Question 1 (on computer)

Example 7 - delay/ seize delay release (on paper)

Example 7 - delay/ seize delay release (on computer)

Exam Like Question 2 (on paper)

Exam Like Question 2 (on computer)

Decide Module

Example 8 - Decide Module (on paper)

Example 8 - Decide Module (on computer)

Exam Like Question 3- part a (on paper)

Exam Like Question 3 - part a (on computer)

Exam Like Question 3 -part a (report)

Exam Like Question 3- part b (on paper)

Exam Like Question 3- part b (on computer)

Exam Like Question 4 - report based

Exam Like Question 5 - (on paper)

Exam Like Question 5 - (on computer)

Exam Like Question 6 - (on paper)

Exam Like Question 6 - (on computer)

Exam Like Question 7 - (on paper)

Exam Like Question 8 -T/F

Exam Like Question 9 - T/F

Schedule Module

Example 1

Exam Like Question 1

Assign Module

Example 2

Record module-Count

Assign Module -TNOW

Example 3

Record Module- Time Interval

Exam Like Question 2

Exam Like Question 3

Resource Set

Exam Like Question 4

Exam Like Question 5

Exam Like Question 6

Failure Module

Example 4

Example 5

Statistic Module

Exam Like Question 7

Question 1 (HAND SIMULATION)

Question 2 (PYTHON)

Question 3 (PYTHON)

Question 4 (ARENA)

Introduction

Input

Example - What is Input ?

Goodness of fit tests

Distributions

Histogram

Example -Creating a Histogram

Histogram and Distributions

Chi Square Test

Chi Square Test - Learning with an Example

Kolmogorov Smirnov

Kolmogorov Smirnov Example

Q-Q Plot

Q-Q Plot Example

Hypothesis Testing Question 1

Hypothesis Testing Question 2

Hypothesis Testing Question 3 - Variance

Unbiased Estimator Question

Method of Moments (Exponential) Question

Method of Moments (Normal) Question

Method of Moments (Poisson) Question

Maximum Likelihood (Exponential) Question 1

Maximum Likelihood (Exponential) Question 2

Maximum Likelihood (for a given pdf) Question 1

Maximum Likelihood (for a given pdf) Question 2

Maximum Likelihood (for a given pdf) Question. 3

Maximum Likelihood (for a given pdf) Question 4

Maximum Likelihood (for a given pdf) Question 5

Parameter Estimation - Mixed Questions 1 (Bernoulli)

Parameter Estimation -Mixed Questions 2 (Geometric)

Parameter Estimation -Mixed Questions 3 (T/F)

Parameter Estimation -Mixed Question 4 (Uniform)

Distribution Types Question

Input Analyzer Question

Chi Square Test - Exponential Question

Chi Square Test - Uniform Question

Chi Square Test - Poisson Question

Chi Square Test - Normal Question

Kolmogorov Smirnov Question 1

Kolmogorov Smirnov Question 2

Kolmogorov Smirnov Question 3

Kolmogorov Smirnov Question 4

Kolmogorov Simirnov Question 5

Q-Q Plot Question 1

Input Analysis - Mixed Questions 1

Input Analysis -Mixed Questions 2

Input Analysis -Mixed Questions 3

Input Analysis -Mixed Question 4

Input Analysis -Mixed Question 5

Importing Data with python

Default Histogram

Featured Histograms

Example 1

Parameter Estimation -Exponential

Parameter Estimation - Uniform

Example 2

Observation and Expectation Calculation

Critical Region and Calculation

Exam Like Question 1

Exam Like Question 2

Introduction

Linear Congruential Method

LCM Example

Characteristic of a Good Generator

Full Period

Full Period Example

Maximum Period

Maximum Period Example

Maximum Period 2

Maximum Period Example 2

Combined Linear Congruential Generator

Combined Linear Congruential Generator Example

Test for Random Number

Autocorrelation

Autocorrelation Example

Introduction

Exponential-Poisson Example

Exponential-Poisson Numeric Example

Homogeneous Poisson Process - Non Homogeneous Poisson Process

Non Homogeneous Poisson Process Example

Non Homogeneous Poisson Process Example 2

Introduction

Terminating Non-Terminating Simulation

Example 1 - Sample mean, sample standart deviation

Confidence Interval

Comparing two system

Tally - Time Persistent

Non-Terminating Simulation

LCM (LCG) Question 1

LCM (LCG) Question 2

Full Period Question 1

Maximum Period Question 1

LCM (LCG) Mixed Question

Combined Linear Congruential Generator Question

Generating Random Number Mixed Question 1

Independency Test- Autocorrelation Question

Independecy Text Question

Monte Carlo Simulation Question

Random Number Generation + Input Analysis Questions 1

Random Number Generation + Input Analysis Questions 2

Random Number Generation + Input Analysis Question 3

Random Number Generation + Input Analysis -Question 4

Poisson Process Questions 1

Poisson Process Questions 2

Poisson Process Questions 3

Poisson Process Questions 4

Poisson Process Questions 5

Poisson Process Questions 6

Confidence Interval Nonnumeric Question 1

Confidence Interval numeric Question 1

Halfwidth Question 1

Replication Number Question 1

Replication Number Question 2

Comparison of Output Data Between Two Systems Question 1

Comparison of Output Data Between Two Systems Question 2

Comparison of Output Data Between Two Systems 3

Comparison of Output Data Between Two Systems 4

Nonterminating Simulation Open Ended Question 1

Nonterminating Simulation Numeric Question 1

Tally-Time Persistent Statistics Open Ended Questions 1

Output Analysis -Mixed Questions 1

Output Analysis -Mixed Questions 2

Output Analysis -Mixed Question 3

Output Analysis -Mixed Questions 4

Schedule Module

Example 1

Exam Like Question 1

Assign Module

Example 2

Record module-Count

Assign Module -TNOW

Example 3

Record Module- Time Interval

Exam Like Question 2

Exam Like Question 3

Resource Set

Exam Like Question 4

Exam Like Question 5

Exam Like Question 6

Failure Module

Example 4

Example 5

Statistic Module

Exam Like Question 7

Arriving with a Schedule

Going to the shortest queue

Example 6

Exam Like Question 8

Seize-Delay-Release

Shared Queue

Priority

Exam Like Qustion 9

Record into Sets

Exam Like Question 10

Match-Batch-Seperate

Example 7

Exam Like Question 11

Exam Like Question 12

Hold ve Signal

Example 8

Route and Station

Assign- Variable

Example 9

Question 1

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8