2022 - 2023 PROJECTS
Inspired Flight: Data Analytics
The Data Analytics team created a dashboard to analyze customer tickets the company receives when there is a problem with the products. They collected raw data, conducted interviews, and did further research with professors. They used Python to create feedback loop that showed an analysis of the customer tickets received and help identify common problems.
Team Members: Ethan Emery (lead) | Eliana Ives | Wesley Tam | Kotomi Saito | Shashank Thapa
Inspired Flight: Motor Testing Team
The Motor Testing team designed a PDB supporting structure, in SolidWorks, used to improve the efficiency of motor testing. Their design is planned to decrease the time of the PDB mounting step in the setup process. They also recommended a different layout in the motor testing lab. Lastly, they recommended solutions for soundproofing the testing area and the location of an emergency stop button.
Team Members: Ofer Barr (lead) | Tyler Luby Howard | Celeste Johnson | Lake Schnick | Ryan Te
Inspired Flight: Floor Layout Team
The Floor Layout team designed a new floor layout to limit congestion, unutilized space, and excess movement. They analyzed the workstation and used line balancing techniques to apply new workstation assignments. This team also reorganized the equipment and tooling based on tool type and size and part description and number. They had the opportunity to implement their ideas in the space.
Team Members: Prabal Sharma (lead) | Luis Giovanni Wang | Sydney Lunasin | Tony Gudkov
J&M Projects Team
The J&M team created three dashboards: top level (management), department level, and work center level in Looker Studio to improve production performance data collection and analysis. They first built a database to hold new records using MySQL, then developed an interface for data entry, and lastly, designed the dashboards to display KPIs.
Team Members: Ellexis Monsanto (lead) | Nika Zamani | Ryan Salazar | Brent Nakashima | Jonathan Howo
iFixIt Team
The iFixIt team analyzed the current iFixIt warehouse to see what improvements could be made to the process and apply them to their new facility in Tennessee. They used simulation to outline the current state and validate their improvement ideas. They designed different layouts to improve the daily throughput at each workstation.
Team Members: Jack Reed (lead) | Zachary Mendenhall | Cassandra Cuna | Frank Tucci | Jonathan Lee
Trelleborg Team
The Trelleborg team was tasked with improving the breast implant demolding process. They worked with fixture samples and visited the site to get data on the current process. From there, they created prototypes and came up with suggestions on how to improve the working conditions for the operators. As a result, they designed an adaptable fixture to improve the ergonomic factors and recommended different workstation layouts and stretches.
Team Members: Nick Quattrocchi (lead) | Angelo Reis | Carlos Sosa | Nathan Gee | Elxx Vanderpool
MDC Precision Team
The MDC Precision team created a live dashboard for the manufacturing floor and vendor quality. They created SQL queries to extract data, and shipping and non-compliant forms to obtain data. Using what they collected, they created a live dashboard in Tableau that analyzes the live data and help identify vendor problems.
Team Members: Charlie Osborn (lead), Sofia Charvel, Ryan Keany, Pete Woo
Cal Poly Casting Team
The CP Casting team worked on optimizing the molding lab and creating an efficient system for the moment casting project. For the momento project, they improved the process from 5 momentos/hour to 40 momentos/hour, reaching their goal of shipping 275 momentos. For the molding lab, they implemented 5S by creating lab sheets, updating labeling, relocating materials, maximizing student work areas, and creating stations for lab equipment.
Team Members: Liam Cohagan (lead), Ashima Saji, Sai Erram, Theo Sprouse
Sequel Boba Team
The Sequel team created recommendations for the company to improve their efficiency of serving drinks. They used Power Apps to gather data and identify the bottlenecks in the system. As a result, they recommended a Kanban system to decrease the continuous rearranging of drinks when serving to customers.
Team Members: Benjamin Fick (lead), Alice Chung, Angela Choi, Eoin O’Brien