Hi
Can you cerate me a sample model that has longer patient appointment completed by 3 pm? I am modeling a clinic with schedules completing by 6 pm. However, when I run the model, patients are not completely done by 6 and that makes a bottlenecks. In the real world, longer appointments with approximately 60 minutes of durations are performed in the morning and shorter ones (less than 30 minutes) are performed after 3 pm.
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If you create all patients of the day at the same time and assign them a random appointment duration at that moment, you could simply have the tokens go through a delay activity that delays them for the inverse appointment time, effectively ordering the tokens by duration in descending order.
If the patients are created throughout the day, I would create an ordered table that holds the appointment times for the day. Each new patient would then be assigned the first row (highest time) which then gets deleted immediately afterwards. In the attached model I use a user event to fill the table with new values every 24 hours.
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