I2.02 - TEL Forecasting Tool
Intermittent demand forecasting method.
Sponsor: Tokyo Electron Limited
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 6 months time period. 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.
I2.02 Presentation
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I2.02 Poster Pitch
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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: I2.02 Evaluation Form