In: Statistics and Probability
UPMC Hospital has been under recent pressure from stakeholders to improve cost efficiency and customer service. In response, the hospital calls in the Health Service Administration (HSA) Consulting Team of Robert Morris & Company (RMC). After initial analysis, we (HSA@RMC) decided to target the X-ray service process. We study the X-ray service process to recommend improvements.
We identified the point of entry into the process as the instant that a patient leaves the physician’s office to walk to the X-ray lab. The point of exit is defined as the instant that both the patient and the completed X-ray film are ready to enter the physician’s office for diagnosis. The unit of flow is a patient. We examined the entire process in detail and broke it down into the 11 constituent activities identified as in the table of the next page. Note that a, c and b denote the optimistic time, the most likely time and the pessimistic time. The flow chart is as follows:
Activity /Event |
Description |
Start |
Patient leaves the physician’s office. |
1 |
Patient walks to the X-ray lab. |
2 |
The X-ray request travels to the X-ray lab by a messenger. |
3 |
An X-ray technician fills out a standard form based on the information supplied by the physician. |
4 |
The receptionist receives from the patient information concerning insurance, prepares and signs a claim form, and sends to the insurer. |
5 |
Patient undressed in preparation for X-ray |
6 |
A lab technician takes X-rays. |
7 |
A darkroom technician develops X-rays. |
8 |
A lab technician prepares X-rays for transfer. |
9 |
Patient puts on clothes and gets ready to leave lab. |
10 |
Patient walks back to the physician’s office. |
11 |
The X-rays are transferred to the physician by a messenger. |
End |
Patient and X-rays arrive at the physician’s office. |
1.1 (2 points) The duration of each activity is of Beta Distribution. Note that it is a BETA DISTRIBUTION. Fill in the following table.
Activity/event |
a |
c |
b |
Mean |
Variance |
Start |
|||||
1 |
5 |
15 |
30 |
||
2 |
5 |
15 |
25 |
||
3 |
10 |
20 |
30 |
||
4 |
5 |
10 |
15 |
||
5 |
10 |
20 |
40 |
||
6 |
10 |
15 |
30 |
||
7 |
10 |
30 |
40 |
||
8 |
15 |
40 |
55 |
||
9 |
5 |
10 |
30 |
||
10 |
3 |
7 |
10 |
||
11 |
15 |
20 |
40 |
||
End |
1.2 (2 points) There are 4 paths as follows:
Path 1: Start → 1 → 4 → 5 → 6 → 7 → 8 → 9 → 10 → End
Path 2: Start → 2 → 3 → 4 → 5 → 6 → 7 → 8 → 9 → 10 → End
Path 3: Start → 1 → 4 → 5 → 6 → 7 → 8 → 11 → End
Path 4: Start → 2 → 3 → 4 → 5 → 6 → 7 → 8 → 11 → End
What are the mean and the variance of the duration of each path? What is the longest path in mean time? Fill in the following table and identify the longest path in mean time.
Mean |
Variance |
|
Path 1 |
||
Path 2 |
||
Path 3 |
||
Path 4 |
Answer: The longest path in mean time is .
1.3 (2 points) What is the probability of completing the longest path within 185 minutes? Assume that the duration of the longest path is normally distributed.
Answer: .
1.4 (2 points) What is the time T for which the probability to complete the longest path is 95%? Assume that the duration of the longest path is normally distributed.
1.1
Activity/event | a | c | b | Mean | Variance |
Start | |||||
1 | 5 | 15 | 30 | 16.6666667 | 158.333333 |
2 | 5 | 15 | 25 | 15 | 100 |
3 | 10 | 20 | 30 | 20 | 100 |
4 | 5 | 10 | 15 | 10 | 25 |
5 | 10 | 20 | 40 | 23.3333333 | 233.333333 |
6 | 10 | 15 | 30 | 18.3333333 | 108.333333 |
7 | 10 | 30 | 40 | 26.6666667 | 233.333333 |
8 | 15 | 40 | 55 | 36.6666667 | 408.333333 |
9 | 5 | 10 | 30 | 15 | 175 |
10 | 3 | 7 | 10 | 6.66666667 | 12.3333333 |
11 | 15 | 20 | 40 | 25 | 175 |
End |
1.2
Variance | ||
Mean | ||
Path 1 | 169.25 | 16381.1667 |
Path 2 | 19.0740741 | 15291.4383 |
Path 3 | 22.3809524 | 14421.2963 |
Path 4 | 172.916667 | 14201.3889 |
Answer: The longest path in mean time is Path
4.
1.3
z = (185 - 172.916667)/14201.3889 = 0.10
The probability is 0.5404.
1.4 The z-score for p-value = 0.95 is 1.645.
1.645 = (T- 172.916667)/14201.3889
T = 368.933183
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