2. Famous Frank’s Queuing Michael Dettloff- mdettlof@purdue.edu Sam Edwards-seedwards@purdue.edu Ross Wagner-rwagner@purdue.edu Marc Parker-mbparker@purdue.edu

3. The Famous Franks group analyzed the queuing line at Famous Franks Food Truck. We determined how long it takes for someone getting in line to get their food. This was done by counting the number of people in line every minute for one hour, along with the time it takes random people to get their food throughout the hour. To collect the data, we used a stopwatch, a notebook, and a pen/pencil. At 11:30pm, one group member started the stopwatch, and another group member recorded the number of people in line. Every minute for the next hour (until Midnight), the person with stopwatch let the other group member know when a minute is up, and the number of people in line was recorded. Every five minutes, the person that was at the back of the line was timed to see how long it takes for them to get their food. That gave us twelve queue wait time recordings. From this data taken, our group was able to determine the average wait for a person, and determine the longest queuing time was as well as when the longest wait was. We plotted the queue length versus time and also the queue wait time versus time. The data was collected on a Thursday, Friday, and Saturday night. The Experiment

4. Location of Famous Franks

5. Data Collection The data was collected October 15 th, 16 th, and 17 th The data was collected from 11:30pm to 12:30am on those given dates Task: 11:30pm – 12:00am -Mike: Stopwatch -Ross: Recorder 12:00am – 12:30am -Sam: Stopwatch -Marc: Recorder The power point was completed by all members of the group Resources Used: Notebook, pen/pencils, stopwatch, clipboard, Famous Franks

6. Thursday ResultsFriday Results

7. Saturday Results

8. Photos of Famous Frank’s

9. Our Famous Frank’s group expected to learn about the effect on the queue wait time, caused by the queue length. We felt that the Famous Frank’s Line demonstrated how capacity is dealt with and how the queue varies with time. The results that were calculated from the data is: –THURSDAY: Average Queue Length-3.76 people, Average Queue Wait-1.521 minutes –FRIDAY: Average Queue Length- 4.1 people, Average Queue Wait- 2.005 minutes –SATURDAY: Average Queue Length- 4.06 people, Average Queue Wait – 2.167 minutes We observed that as the queue length became larger there was a less amount of people forming at the rear. When the queue length was short, people were more willing to join the line. Its was observed that the queue time was not dependent on what the costumer ordered. This was not what we had expected. However the reason for this was because the orders were given out based upon when they were finished not when they were ordered. RESULTS

10. The peak 15 min different for all three nights DayPeak 15 minPeak 15 min x 4PHF Thursday: 12:15-12:3083 people0.68 Friday:11:47-12:0296 people0.64 Saturday12:03-12:1890 people 0.68 These results Confirm that there is a common Peak Hour Factor but not a common Peak 15 min. The results we obtained were both what we expected and not what we expected. The data recorded proved that queue line are dependent on the arrival rate, the service rate and the total time shut down are all important factors. We also found that in food services factors such as patience, item ordered, hunger and location are all very important in the determination of the queue line. In the food industry people are more willing to get food if it is easier and less apt to get food if it is more difficult. RESULTS Continued