Data were not recorded by our sme and thus we had to

This preview shows page 5 - 6 out of 11 pages.

data were not recorded by our SME, and thus we had to rely on our personal observations to get the processing times for each station. Nevertheless, the SME provided some statistics for the popularity of each station by their respective names ordered from most popular to least popular. As mentioned earlier, we also added our own observation to make sure that the obtained model would be as close to real one by visiting to the Nest multiple times. The only concerns making the results slightly unreliable was the fact that not having info on the schedules shift of the personnel. After applying all numbers into the model and testing the base model several times for accuracy, we decided to perform additional testing by some case studies. In order to make the queueing times shorter, we decided on two solutions to test: adding an extra worker at more populated food stations (Panda Express, Steak Escape, and Chickendipity) to act as a food-runner, who is a person that makes sure there is no down-time when food starts to run out.
Image of page 5

Subscribe to view the full document.

The second solution was based on changing the popularity factor of each food station to spread it more evenly. The reason were based on observations on certain lines were most crowded during the peak hours of service and thus leading to longer queue times. If the customers were more evenly distributed to the less populated food stations, then the overall average queue times of customers should decrease. This solution would also make use of the idle time of workers from the least popular food stations. The popularity factor could be controlled by e.g. offering special deals at other food stations, adding new items to the menu of other food stations, etc. 4.3. Project Limitation and Strengths The project encountered several limitations, such as time, detailed statistics, implementation of logical human decisions, and the area of the cafeteria that the model represents. Time was a major limitation as it proved to be difficult to keep up with the project schedule due in 6 weeks. Detailed statistics became an issue since the head manager of the Falcon's Nest, was concerned that some released information might harm BGSU. Consequently, we limited the simulation scope to what we could deliver in 6- weeks’ time period. We succeed doing so by delivering a reliable simulation model with four scenarios: a base model, an improved model, an advanced one, and the final model. The next section will describe the details of the models. 5. Simulation Models Four phases were used to develop the needed models: base, intermediate, advanced, and final models. In the following subsection, the details of these models will be described. 5.1. Base Model The base model had very basic setup as shown in Figure 1. The objective was focused only to test one station where the costumers arrived to the station, to get their food, and then move to the checkout station with queues connecting each station. This model gave the needed start point and statistics to advance to the next model.
Image of page 6
You've reached the end of this preview.
  • Fall '08
  • Computer simulation, NEST

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern