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Industry & alumni


Optimize the Labor System to Improve Barista and Customer Experience

Over the past few years, Starbucks has collected process time data at the Tryer Center and their stores. In recent years the increase in TikTok drinks or more custom drinks has changed how long it takes for a drink order to be processed. The student team worked to analyze the drink modifications in order to predict how much labor is needed to support demand. Using time studies for the new modifications and forecasting methodologies, the team developed a new, improved labor model that will capture the impact these new drink modifications have on staffing levels.

Faculty Adviser

Patty Buchanan, Assistant Teaching Professsor, Industrial & Systems Engineering


Glenndi Tjuandi
Kaitlyn Lee
Nicole Ayn Sanchez
YeEun Kim