IE 305 • Midterm • 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