creation date: 2025-02-24 13:53
modification date: 2025-02-24 13:53

https://www.udemy.com/user/harry-munro-4/
https://www.schoolofsimulation.com/

Why Python

• Complete Flexibility and control
• Clean, intuitive code
• Leverage the entire Python ecosystem
  • "kind of like moving into a house where the fridge is already stocked"
• Low barriers, no license fees, its FREE
• Transparent an reproducible models
• Rapid iteration and innovation
• Transferable skills and lasting value
  • "like getting a gym membership for your brain"
  • Python is top dog in programming languages

The Framework

SimPy

Why SimPy

• It has the most users and biggest community aka great support
• Its simple, it doesnt over-extend, doesnt try to be everything to everyone, focuses on being a simulation library
• It is recognized in industry

Why SimPy is Perfect for Engineers

• Python-based and event-driven, intuitive
  • "mirrors how events happen in the real world"
• Scalable: scales from simple examples to complex, multiprocess systems
  • "start small and then iterate"
• Cost-Effective and Open-source

Impactful Models

"Use your model as a tool for stakeholder management"

• need a way to track the assumption list for our model
• reference of where the data came from is very important
• you have the ability to capture uncertainty
  • sometimes youll have to guess some values for example: how long it takes someone to do something
    • you could have a best, medium and worst case scenario and put that into a probability distribution function

Manage the Simulation Lifecycle

2 different flavors of sim work

Projects

• Study with a defined start and end date
• Clear set of goals

Products

• Usually looser open ended goals that change overtime
• Ongoing dev such as an in-house sim model

Minimum Viable Product (MVP)

• define a clear set of goals and timeline
• The MVP is just a project
  • So what's the difference between a project and a product? - With the product dev you will repeat the process again
  • The standards you set for acceptance of the work (more rigorous beyond MVP for products)

Mind the Gap - Reducing Risk

• Get really clear on what the questions are that you are answering
• Dont boil the ocean - dont try to do everything at once
• Conduct a model qualification step

Model Qualification

What should I include?

What can I safely exclude?

Power of Visual Management

• important to see the whole scope so that everyone on the team is on the same page
• fosters an open culture because its being updated with an open cadence

The Book

![[Simulation in Python with SimPy Book.pdf]]

Python Example Scripts

Chapter 3

![[basic_examples.py]]

Chapter 4

![[car.py]]

Chapter 5

![[adding_resources_and_increasing_capacity.py]]

![[customer.py]]

![[event_scheduling.py]]

![[plotting_customer_queue.py]]

![[multiple_processes_sharing_resource.py]]

![[stochastic_delays.py]]

![[worker_task_resource.py]]