## Code ##
There is a significant amount of code associated with this paper. Some parts are currently being redeveloped. The rest of the code is publicly available in GitHub repositories.
Stochastic Hierarchical Planning Approach:
- Problem HM1B: https://github.com/JustinBritt/HM.HM1B.A.E.O
- Problem HM3A: https://github.com/JustinBritt/HM.HM3A.A.E.O
- Problem HM3B: https://github.com/JustinBritt/HM.HM3B.A.E.O
- Problem HM4: https://github.com/JustinBritt/HM.HM4.A.E.O
- Problem HM5: https://github.com/JustinBritt/HM.HM5.A.E.O
Comparative models:
- Belien *et al.* (2007): https://github.com/JustinBritt/Belien2007.A.E.O
- Ma and Demeulemeester (2013): https://github.com/JustinBritt/Ma2013.A.E.O
Data:
- Surgical duration and frequency data collected by Van Houdenhoven *et al.* (2007): https://github.com/JustinBritt/VanHoudenhoven2007
- Patient length of Stay data collected by Van Oostrum *et al.* (2011): https://github.com/JustinBritt/VanOostrum2011
- Data set used by Britt et al. (2021): https://github.com/JustinBritt/Britt2021.D
Probability distribution:
- Discrete half-normal distribution developed by Kemp (2008): https://github.com/JustinBritt/DiscreteHalfNormal
## Data ##
Each test instance is assigned a globally unique identifier (GUID). Sections 5 and 6 of the paper focus on a specific test instance with GUID da2bbefc-a12d-4f3d-a12f-5f803efb10d1.
The inputs and outputs for this test instance are provided in a zip file.
## Corrections and Clarifications ##
Several of the nomenclature tables refer to surgical teams instead of surgeons.
The caption for Table 14 should be "Integer and Continuous Variables."
Equation (77) should have an $\hat{x}$<sub>sr(t + d<sub>2</sub>)</sub> variable on the left hand side of each constraint.
Equation (91) calculates OR underutilization (ORUU) as a percent. The ORUU values in Table 25 are decimals, not percents.
