HoQuNM

Hospital queuing network modelling. An implementation of a DES for a mathematical queueing network model for hospital ward modelling.

Setup

The following is necessary for using the code:

1. Install Python 3.7.

2. Go to the project folder.

3. Create a pip virtual env.

4. Activate the virtual environment.

5. If you run on a windows machine install py-make via pip install py-make. In the follwing always type pymake instead of make.

6. Run make install.

7. For saving trees from CART analysis, graphviz has to be installed on your machine and added to system PATH.

Run the functionalities inside your virtual environment.

If you want to push code run make format and make lint before and resolve possible issues.

Available command line tools

All command line tools can be accessed over hoqunm-cli. For help, see hoqunm-cli --help.

• hoqunm-cli preprocess-data: Preprocess raw data (as given by the hospital). This tool is very specific to the partner hospital.
• hoqunm-cli analyse-data: Analysis of preprocessed data. This tool is very specific to the partner hospital.
• hoqunm-cli build-model: Build the model from preprocessed data. This tool is very specific to the partner hospital.
• hoqunm-cli analyse-model-variants: For computed parameters from given data, analyse the different models (1,2,3).
• hoqunm-cli assess-capacities: Assess capacities for a given model.
• hoqunm-cli simulate-optimum: Simulate the model for different capacity combinations and compute the optimum. The simulation results are saved for future use.
• hoqunm-cli compute-optimum: Compute the optimum from already simulated results by simulate optimum. This might be useful if different optimisation problems (with different parameters) are to be assessed, thus simulations will not have to be reeated each time.