borrador | Challenge Javeriana

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Sam Price, CA

Name, Title

For the first time in the history of the Challenge, our students had to compete against an algorithm and not a human made solution. Working with Quick experts probably amongst the best in latin america was a very rewarding.

Rabie Nait-Abdallah

Professor in charge of the Challenge

Javeriana University

Vehicle Routing Problems are a classic in Operations Research. However, our students had to confront with variations that made the problem pretty hard to optimize : heterogeneous fleet of vehicles, picking up the products from multiple warehouses, non-constant picking times that depend on the route itself, etc.

Our track record

Smart Quick : Routing Optimization

A vehicle routing problem from a major Latin American logistics company. See how optimization techniques helped dramatically improve service level and transportation costs

AGP-Global-Presence_COLOMBIA_1_edited_ed

AGP : Armored glass production scheduling

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AXA: Call Center planning optimization

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Operations Research at Javeriana University

At Javeriana University we believe that engineering is about solving real problems. That's why we purposefully designed our Operations Research courses around building solutions for real companies

What is the Challenge Javeriana ?

A one month long competition between our industrial engineering students. Each student has to design and develop a software based on Optimization and Artificial Intelligence techniques to automatically solve a business decision making problem.
The challenge is always based on real data provided by a real company.

Our track record

So far and after more than 10 challenges, our students' best algorithms consistently found solutions 20% to 90% better than the companies' human-based solutions.