#4 Check on Learning

14:540:384: Simulation Models in IE (Spring 2025)

Daniel Moore
daniel.l.moore@rutgers.edu

Rutgers University

2025-02-12

Questions

  • Homework?
  • Project?
  • R?
  • Quarto?

1 Learning Objectives

  1. Confirm comprehension of Simulation and coding topics to this point

  2. Review Project in Detail

2 Check on Learning

2.1 Simulation Concepts

Distributions

  • Where do distributions come from?
  • What information can we get from them?
  • If we have a distribution, how do we simulate data with it?
  • If we have data, how do we figure out which distribution it came from?
  • What is the relationship between a system process and a distribution?

Simulations

  • Why do we do simulations?
  • What is the most important step in a simulation?
  • How do we do one?

2.2 Quarto

  • Why are we using Quarto?
  • What does Quarto give you?
  • How do you use R and Quarto?

2.3 Implementation in R

  • Reading and manipulating data
  • Tidy data vs. Matrix data. Wide-form tidy vs. Long-form tidy
  • Creating Plots
  • Sampling distributions
  • Functions, Loops, control flow, variables
  • Fitting distributions
  • Animations

3 Project

  • Why am I doing this?
  • Why is there a project proposal due?

3.1 Timeline

gantt
    title Project Timeline - Simulation Course
    dateFormat  YYYY-MM-DD
    section Milestones
    Assigned : milestone, 2025-02-04, 1d
    Project Proposal : milestone, 2025-02-18, 1d
    Spring Break : springbreak, 2025-03-15, 9d
    Report Date : milestone, 2025-03-25, 1d
    Presentation: milestone, 2025-03-25, 1d

    section Tasks
    System Modeling : sys_model, 2025-02-04, 2w
    Analytical Modeling : anlytical_model, 2025-02-10, 3w
    Modeling in R :  numerical_model, 2025-02-10, 3w
    Report : 2025-02-28, 2w
    Presentation : 2025-02-28, 2w
    Final Submission : 2025-03-25, 1d
    
    section Recitations
    Intro to `simmer` 1: 2025-02-19, 2d
    Custom Distributions : 2025-02-26, 2d
    Intro to `simmer` 2: 2025-03-05, 2d
    Reporting Results* : 2025-03-12, 2d

Note

  • Will be recorded and posted to Canvas

3.2 Process Flow and Modeling

gantt
    title Restaurant Order Tracking
    dateFormat  X
    axisFormat %M min
    Start : milestone, 0, 0s
    Food Prep (10-20 min) :prep, 0, 15m  
    Food Delivery (20-30 min) :delivery, after prep, 30m  
    Delivered : milestone, after delivery, 0s

3.3 Insights

  • Thoughts
  • Questions
  • Concerns
  • Clarifications