Our objective was to analyze the implementation of a Ibby’s Bistro brunch in a three pronged approach. Firstly, in terms of demand forecasting. To find the demand, we want to find a dining location that has a demand fluctuation that is already highly correlated to Ibby’s current dining demand. From here we can use that 2nd locations brunch demand to forecast Ibby’s brunch demand. The correlated restaurants we obtained data for were The Bear’s Den, The Village and Kayaks. Kayak’s is an off campus casual dining restaurant about 5 minutes walking distance from Brookings. Kayak’s offers an extensive menu of sandwiches and salads, as well as smoothies and coffee. The restaurant also accepts Bear Bucks, making it an ideal location to compare Ibby’s with.
Our second implementation analysis was to create an optimal employee schedule surrounding the hours of operation during brunch. By using the demand collected from Dining Services, we made assumptions surrounding employee schedules at Ibby’s, as well as collected primary data on how many tables and of what sizes Ibby’s had available. All of this information was funneled into our optimization problem to determine the most efficient employee schedule to minimize cost.
Our final prong to our analysis was to collect primary data from an online survey. This information was important for us as we wanted to analyze what overall campus reaction was going to be surrounding Ibby’s brunch, as well as determine other audience trends such as party size to expect during brunch at Ibby’s. This data also supplemented secondary data such as the fact that students do prefer brunch on Sunday rather than Saturday.
We believe the three components of our problem statement complement each other and give a holistic approach to the implementation of a brunch option to Ibby’s. We used knowledge inside and outside of the classroom, and were able to draw applicable conclusions that supported conclusions from other aspects of our problem statement.