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[ ![ lite-badge] ( https://jupyterlite.rtfd.io/en/latest/_static/badge.svg )] ( https://pythonhealthdatascience.github.io/intro-open-sim/lab/index.html )
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+ [ ![ Binder] ( https://mybinder.org/badge_logo.svg )] ( https://mybinder.org/v2/gh/pythonhealthdatascience/intro-open-sim/HEAD?urlpath=%2Fdoc%2Ftree%2Fcontent%2F01_sampling.ipynb )
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[ ![ License: MIT] ( https://img.shields.io/badge/License-MIT-yellow.svg )] ( https://opensource.org/licenses/MIT )
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[ ![ Python 3.11+] ( https://img.shields.io/badge/python-3.11+-blue.svg )] ( https://www.python.org/downloads/release/python-3100/ )
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[ ![ ORCID: Alison Harper] ( https://img.shields.io/badge/ORCID:_Alison_Harper-0000--0001--5274--5037-brightgreen )] ( https://orcid.org/0000-0001-5274-5037 )
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[ ![ ORCID: Tom Monks] ( https://img.shields.io/badge/ORCID:_Tom_Monks-0000--0003--2631--4481-brightgreen )] ( https://orcid.org/0000-0003-2631-4481 )
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[ ![ ORCID: Amy Heather] ( https://img.shields.io/badge/ORCID:_Amy_Heather-0000--0002--6596--3479-brightgreen )] ( https://orcid.org/0000-0002-6596-3479 )
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+ [ ![ DOI] ( https://zenodo.org/badge/DOI/10.5281/zenodo.13971858.svg )] ( https://doi.org/10.5281/zenodo.13971858 )
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# An introduction to Discrete-Event Simulation (DES) using Free and Open Source Software
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@@ -26,7 +29,7 @@ We then move on to some more advanced concepts, and create a full process model:
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* ` 04_111_model.ipynb ` : Full ` simpy ` process model, creating a model for a 111 call centre
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* ` 05_basic_results.ipynb ` : Collecting results from a single run by storing process metrics during a run and performing calculations at the end
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* ` 06a_basic_results_exercise.ipynb ` : An exercise to practice collecting results from a ` simpy ` model.
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- * ` 07_experiments.ipynb ` : our approach to setting up a model for multiple replications, experimentatation , and common random numbers
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+ * ` 07_experiments.ipynb ` : our approach to setting up a model for multiple replications, experimentation , and common random numbers
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* ` 08_full_model.ipynb ` : an extended version of the 111 call centre process. We also introduce a warm-up period
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* ` 09_time_weighted_calcs.ipynb ` : An alternative approach to collects results for queue length and resource utilisation.
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@@ -88,7 +91,7 @@ jupyter-lab
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month = oct,
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year = 2024,
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publisher = {Zenodo},
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- version = {v0.1 .0},
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+ version = {v0.2 .0},
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doi = {10.5281/zenodo.13971859},
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url = {https://doi.org/10.5281/zenodo.13971859},
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}
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