5. Implementation

5.1 Software or programming language

The simulation model was developed using python 3.10 and simpy 4.1.1. Simpy details are here: https://simpy.readthedocs.io/en/latest/

A conda virtual environment is provided to manage versions on a local machine.

5.2 Random sampling

All sampling uses numpy.random.Generator. A numpy generator object implements the Permuted Congruential Generator 64-bit (PCG64; period = \(2^{128}\); maximum number of streams = \(2^{63}\)).

Repeatable experiments and common random number streams are used in the model. A simple method is used to create streams are creating using multiple seeds. This does not guarantee, that streams are non overlapping.

5.3 Model execution

simpy implements a process based simulation worldview.

5.4 System Specification

The model was coded by Perplexity.AI between Janurary 2024 and July 2024. It was run on Intel i7-1195G7 CPU with 16GB RAM running Ubuntu 20.04 Linux.