Timeline for General convention for demand determination
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| May 31 at 9:49 | comment | added | PeterD | The demand distribution should not depend on the shifts, but should be seen as an exogenous parameter. If you assume constant demand then you can just use one parameter (rate). You can also look at papers that considered ICU planning such as this one and apply their parameters. It would be valuable to see how your model reacts to higher than usual rates, sth I assume is very important in ICU planning. | |
| May 31 at 9:38 | comment | added | ornewbie | Thanks for your answer. Would a Poisson distribution still work if I do not have time intervals per se, but rather q fixed number of shifts per day? And if I also assume a rather constant daily demand, e.g. in the ICU, where the daily demand is rather constant, independent of weekdays or weekends? At what point in the day does the demand change? | |
| May 29 at 20:18 | history | edited | prubin♦ | CC BY-SA 4.0 |
Fixed a couple of minor typos
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| May 29 at 9:30 | history | answered | PeterD | CC BY-SA 4.0 |