I1.02 - TEL Forecasting Tool
Develop a tool to forecast spare parts' demand.
Sponsor: Tokyo Electron Ltd.
Student Team: Oleksandr Liebiediev, Sebastian Sanchez, Keenin Potter, Dylan Moya
Faculty Advisor: Dr. Michelle Londa
Tokyo Electron Limited (TEL) needs an agile forecasting tool that will provide predictions on customers' spares demand over at least 2 years. Creating a dynamic system to forecast spare parts' demand would significantly reduce the burden of manual processing and allow for increased time towards valuable decision-making. This responsive system would greatly help the company keep and win more business by effectively planning for spares production through predicting customer demand in a timely manner.
I1.02 Poster Pitch
To view a PDF file of our poster, click the link below!
Team Contact Information
Team Project Manager: Oleksandr Liebiediev, o_l60@txstate.edu
Faculty Advisor: Dr. Michelle Londa, ml40@txstate.edu
Let us know what you think! You can evaluate our project here: I1.02 Evaluation Form