Step On The Box

Efficient Operations Scheduling with Machine Learning (Hackathon: Data-enhanced operations & logistics)

We are looking for:
Students in the field of Data Science, AI/ Machine learning, Computer Science, Software Engineering, Operations Research, Econometrics, (advanced mathematics etc.)

Status
Finished
Spots
6 available
Registration deadline
8 Nov 2024
Sprintday
14 Nov 2024
Location
Onsite
1. Description of the challenge

Curious how Machine Learning can revolutionize efficient and sustainable production? 

Let’s tackle the challenge of optimizing manufacturing operations!
From product properties to due dates, the right production sequence can save time, energy, and resources. You'll not only develop your own solutions but also learn about the state-of-the-art in scheduling technology.
Do you have what it takes to design a Machine Learning approach—or even hack a prototype? 

Join us and put your skills to the test!

2. Expected outcome

This challenge mirrors the core of our R&D efforts and addresses a critical, ongoing issue. We’re looking for students to bring fresh perspectives and groundbreaking ideas to our daily manufacturing challenges.

About Dassault Systèmes

Dassault Systèmes is a catalyst for human progress. Operating in three sectors – Life Sciences & Healthcare, Infrastructure & Cities, and Manufacturing Industries – we provide businesses and people with collaborative 3D virtual universes to imagine sustainable innovations.

By creating virtual twin experiences of the organic and non-organic world with the 3DEXPERIENCE platform, customers push the boundaries of innovation and explore new possibilities capable of harmonizing product, nature and life.