BIA 650 Process Mining Homework (Revised) Develop a simulation of the Medical Clinic Process shown in the BPMN process map below. From an analysis of this current (or as-is) process, we have the following performance data: Patient Requests: Exponentially Distributed inter-arrival times: Mean = 30 minutes Registration activity: Uniformly distributed service times: lower bound 10 minutes; Upper bound 20 minutes Examination activity: Uniformly distributed service times: lower bound 5 minutes; Upper bound 15. minutes Consultation activity: Uniformly distributed service times: lower bound 10 minutes; Upper bound 20 minutes 25% of consultations result in a Test decision Test activity: Uniformly distributed service times: lower bound 10 minutes; Upper bound 20 minutes Diagnosis activity: Uniformly distributed service times: lower bound 5 minutes; Upper bound 15 minutes 25% of Diagnoses result in a decision to Schedule Follow-up visit. Schedule Follow-up activity: Uniformly distributed service times: lower bound 10 minutes; Upper bound 15 minutes

2. Develop a simulation of this system and complete the following table (99 % confidence in cycle time required.) Submit a screenshot of your Simul8 model.

Some instructions. i. Under Data & Rules, set travel time to zero! ii. Run the simulation 24 hours per day; the parameters and results should be in minutes iii. We are interested in long-run average performance so set a Warm-up time of 1440 minutes (one day) to eliminate any transients. iv. Each run of the experiment should be for 14 days. v. Right-click each object, go to Properties and set the parameters specified in the above problem statement. v. Right click each object go to Properties/Results and right click on the result that you want to record in the KPI history. vi. Once you have set up and are satisfied with your initial run go to Trail Setup and determine how many runs you need to make to achieve 99% confidence in the result you obtain for the total cycle time. Set the random number seed equal the mmdd digits in your birth date, for example if you were born on Jan 5, 1991 use 105 as the random number seed. vi. Conduct the experiment using the Multiple Runs facility. The results you have requested in Steo v. will appear in the Results Manager/ KPI history. Record these results in the following table.

CURRENT (AS-IS) SYSTEM	Average queue time (in front of) minutes	Average activity utilization
Registration
Examination
Consultation
Test
Diagnosis
Schedule next visit

Total Cyle time (path requires Schedule follow-up) ______ minutes

2. Experiment details: State the number of days per run and the number of runs you used in the Trial Manager.
4. Locate the bottle neck activity. Describe an improvement (that may involve additional cost) but does not change the basic logic of the process. Assume the percent improvement from your proposed intervention and complete the following table.

PROPOSED (TO-BE) SYSTEM	Average queue time (in front of)	Average activity utilization
Registration
Examination
Consultation
Test
Diagnosis
Schedule next visit

Total Cyle time ((path requires Schedule follow-up) _______ minutes