Starbucks

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

Students

Glenndi Tjuandi
Kaitlyn Lee
Nicole Ayn Sanchez
YeEun Kim

Latest news

Developing a synthetic railbelt power system model

A team of electrical and chemical engineering graduate students on a capstone project focused on developing a synthetic power system model of Alaska’s Railbelt transmission system.

Read Article

Third annual Boeing capstone

Students earned their wings during a spring quarter capstone project undertaken in partnership with Boeing. Fittingly, they worked on a novel design for a wingtip end cap that was produced using 3D printing.

Read Article

Students design a rover to help fish

As part of an industry capstone project, engineering students created a rover to inspect sewer pipes and culverts for damage that may prevent fish migration.

Read Article

ISE’s capstones adjust to the pandemic

As ISE’s capstones adjusted to pandemic life, the Millipore Sigma team shows us how they prototyped from home.

Read Article

More News