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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning. Dates formatted as YYYY-MM-DD as per ISO standard.

Unreleased

Added

  • 07a_exercise.ipynband 07a_solutions.ipynb: simple exercises to complement learning in 07_experiments.ipynb
  • 10_multiple_arrival_processes.ipynb: simulating multiple arrivals classes each with their own distribution
  • 11_blocking.ipynb: simulating the blocking of one resource while queuing for another.
  • 12_arrival_classes.ipynb: simulate unique processes for different classes of arrival to the model.
  • distributions.py: module containing some distributions to reduce code in notebooks.
  • basic_model.py: contains a single activity version of the call centre model to use with 07_exercise.ipynb
  • 13_warm_up.ipynb: contains explanation of implementing warm up
  • 14_initial_conditions.ipynb: contains explanation of manually setting up processes before a model is run
  • 15_resource_store.ipynb: introduction to Store and FilterStore for advanced resource modelling
  • sim_utility.py: added trace, set_trace, and spawn_seeds functions to use across notebooks.

v0.2.0 - 11/02/2024 DOI

Simulation workshop 2025 release. Additional notebooks to respond to reviewers requests.

Added

  • 06a_basic_results_exercise.ipynb: An exercise to practice collecting results from a simpy model.
  • 06b_basic_results_solutions.ipynb: Solutions to exercise.
  • 07_experiments.ipynb: our approach to setting up a model for multiple replications, experimentation, and common random numbers
  • 08_full_model.ipynb: an extended version of the 111 call centre process. We also introduce a warm-up period
  • 09_time_weighted_calcs.ipynb: An alternative approach to collects results for queue length and resource utilisation.

Changed

  • Upgraded to JupyterLite v0.5.x and xeus-python kernel v3.x
  • Modified SW25 paper.

v0.1.0 - 22/10/2024 - DOI

🌱 Initial release of tutorial materials.

Added

  • Six notebooks introducing sampling, basic simpy concepts and basic results collection procedures.