Help STELIA Decision Makers Manage On-Time Delivery (OTD) Delays

What it does

Assums a Hidden Model that Generates Milestone Dates and use advanced Data Science Methods to predict Lags

How we built it

Built 2 ML models: Regression (using Python Pandas) and Deep Learning (RNN, using TensorFlow). Built a Predix app (OTD-Predixing) that's integrated with these models

Challenges we ran into

Data Credibility – Industrial Data Understanding the TRUE business need Tight Schedule

Accomplishments that we're proud of

In short time We got good prediction results We understood the business need in a good manner and predicted more insightful corollaries

What we learned

What's next for Technion

Collabaration between STELIA and the Technion institute

Built With

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