Convolution model - Model: Ward workload as function of the MSS
15 important questions on Convolution model - Model: Ward workload as function of the MSS
What is the data needed for each MSS block?
- Emperical distrecte distribution of surgery frequencies
- Emperical discrete distributions of Length of Stay (LOS)
What are the [3] steps of the model?
- For one operating room block of one specialty;
- For a single cycle of the MSS;
- For recurring MSSs;
How is the ward workload computed in each step?
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Step 1. One operating room block of one specialty
What is c(x)?
- consequently, describes the batch size of admission to the ward
- consequently, represents the number of recovering patients in the hospital on the day of surgery (t=0)
Step 1. One operating room block of one specialty
What is dt?
Step 1. One operating room block of one specialty
How can dt be calculated?
Step 1. One operating room block of one specialty
What is ht(x)?
Step 1. One operating room block of one specialty
What is the formula of ht(x), what do all parts mean?
Step 2 A single cycle of the MSS
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How is this formulated?
Step 2 A single cycle of the MSS
What is Ht(x)?
Step 3 recurring MSSs
What is M?
Step 3 recurring MSSs
How many consecutive MSS cycles have to be taken into accountant?
Step 3 recurring MSSs
What is the following? ![]()
If you want to know the discharge rate instead of the patients recovering on any day t what adjustment do you have to make?
What are [2] side nodes for the model?
- Ignores seasonality
- Only considered elective patients
EVALUATION MODEL NOT OPTIMIZATION MODEL
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