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Answer :
The hourly rate of patient visits at the clinic is 20 patients per hour.
What is the takt time in order to visit all the patients who arrive each day at this clinic?
3-1. To find the hourly rate of patient visits at the clinic, you can calculate the total number of patients seen in an hour. The clinic operates 8 hours a day, and on average, 3200 patients visit in a month (20 days). Therefore:
Hourly rate = (3200 patients / 20 days) / 8 hours per day = 20 patients per hour
So, the hourly rate of patient visits at the clinic is 20 patients per hour.
3-2. To find the number of patients typically waiting to be visited, you need to consider the duration of each visit and the hourly rate. If the duration of each visit is 12 minutes (or 0.2 hours), you can calculate the number of patients in the clinic at any given time:
Number of patients waiting = Hourly rate x Duration of each visit
Number of patients waiting = 20 patients per hour x 0.2 hours = 4 patients
On average, there are typically 4 patients waiting to be visited in the clinic.
3-3. Takt time represents the available time for work divided by the customer demand. In this case, the available time for work is the total clinic hours in a day, which is 8 hours. The customer demand is the total number of patients who visit in a day, which is 3200 patients. Therefore:
Takt time = Total available time / Customer demand
Takt time = 8 hours / 3200 patients = 0.0025 hours per patient
This means the clinic should aim to see one patient every 0.0025 hours, or 9 seconds per patient, to meet the demand. However, if the average duration of each visit is 12 minutes (0.2 hours), it takes longer to serve each patient than the takt time allows.
Since the duration of each visit is longer than the takt time, the clinic is not able to visit all the patients who come to the clinic each day within the expected time.
There may be a backlog of patients, leading to longer wait times or potential delays in patient care. The clinic may need to consider strategies to better match the capacity with patient demand or increase the capacity to meet the demand more efficiently.
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