John Deere - Parts Demand Forecasting
 Open for Registration
  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Forecasting, Machine Learning, Probabilistic Demand Forecasting, Supply Chain, Time Series Analysis
  • Tools: Data Analytics, Optimization, Probabilistic Forecasting, Python, Time Series Data Analysis and Forecasting
  • Citizenship: Open to all students
Summary

Develop a probabilistic demand forecasting method to predict the next 12 months of demand for the given part-location combinations. The accuracy of the methods will be evaluated using a variety of metrics associated with different demand time series patterns and weighted

Description

***Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'John Deere' in the Note section, and select the appropriate CRN.***

AY 2024 - 2025 Last updated: April 11, 2024, 2:43 p.m.