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Simulation Project: Improving the X-Ray Process at County Hospital County Hospital wishes to improve the service level of its regular Xray operation,...

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Simulation Project: Improving the X-Ray Process at County Hospital County Hospital wishes to improve the service level of its regular X- ray operation, which runs from 8 A.M. to 5 P.M. Patients have identified the total required time as their main concern with this process. Management, on the other hand, is concerned with utilization of available resources. Management has created a process-improvement team to study this problem. The process might be redesigned as a result of the team’s recommendations. The team has defined the entry point to the X-ray process to be the instant a patient leaves the physician’s office en route to the X-ray lab. The exit point has been defined as the instant at which the patient exits the X-ray facility and the completed X-ray is delivered to the physician’s office. Patients are registered as they enter by a desk assistant, and a sample of the arrival time data is provided in Table-1. Until now, no attempt has been made to further analyze this data, so there is no insight into what the arrival process looks like. The team has identified 9 activities in the current X-ray process (see Table-2), which is the same irrespective of the patient. The activity times and their distributions are specified in Table-3. The resource data for the X-ray process is specified in Table-3. There are one desk clerk, three X-ray technicians, one dark room technician, two X-ray labs, one dark room and one X-ray inspection room. The two X-ray labs and the inspection room are staffed by X- ray technicians while the dark room is staffed by a dark room technician. PART I: ANALYZING THE CURRENT PROCESS DESIGN 1. Step #1--Draw a flowchart of the current X-ray process. 2. Step #2--Develop a simulation model of this process. The model requires analysis of input data regarding the arrival process of patients. Look at the lecture
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PowerPoint materials on “analyzing input data” as a guide for your modeling. A combination of descriptive statistics and a histogram can help you “eyeball” the data to help determine the most appropriate probability distribution function to help model interarrival times. Modeling Hint: Build the model incrementally based on your flowchart. Do not try to put everything together at once and then test whether it works. The key is to use individual, small steps. Be sure to specify your priorities and resources correctly with SimQuick. Remember, a higher priority has a lower number workstation. For instance, if you have two workstations that compete for a resource, the workstation with the higher priority is always entered into the model first. Table-1 presents patient arrival times. You need to come up with some estimate of interarrival times, meaning the time between arrivals, to come up with a pattern for how patients enter into the X-ray facility. I highly encourage you to create a histogram, run the descriptive statistics from the analysis toolpack in Excel and estimate an appropriate, average interarrival time. You may need to include more buffers than noted in Table-2. Assume that there’s plenty of space available for patients to wait while they’re in the service system. 3. Step #3—First cut analysis based on one simulation run: As a first-cut analysis, run one simulation, using the correct activity time distributions. Look at the average cycle time, the throughput rate, the queue lengths, and the descriptive statistics, such as the mean and standard deviations. What are the problems in this process? 4. Step #4—Multiple simulation runs: Run 100 simulations and compute the cycle time and daily throughput (average and standard deviation). Also compute the queue and resource utilization statistics with 95 percent confidence intervals. Assume that any patients remaining in the system at the end of the day will be taken care of by the night shift. Every morning, the system is assumed to be empty. Are there any surprises when you compare these results with the ones in
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