The Challenge
by Universidad
Javeriana
The Challenge by Universidad Javeriana
Prescriptive Analytics with real impact
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 Operations Research and Artificial Intelligence algorithms to automatically optimize business decision problems.
The challenge is always based on real data provided by a real company.
The Challenge in a nutshell
Fast
After the case is ready to launch, our students have a deadline of one month to deliver their software
Free
We don't charge any money. We're only interested in giving our students the best real-life optimization experience possible
Real
We design the Challenge based on your business and your data. We neither oversimplify nor over-complicate the problem
Measurable
We define together indicators to compare our results to your own. So far, we consistently improved the company's reference solution by 20% to 90%
Our Track Record
2022
scheduled hours : +11%
schedule variability : +19%
CAS
Schedule optimization
Automatically create schedules for an aviation school considering all the constraints related to pilots, students and aircraft availability
2020
non visited clients : -80%
necessary vehicles : -20%
Smart Quick
Routing Optimization
A multi-depot vehicle routing problem with time windows from a major Latin American logistics company.
2018
non answered calls : -35%
workforce required : -15%
Insurance sector
Call Center Planning
Process every agent constraints and compute a schedule to deliver the fastest and best answer possible
2021
routing distances : -45%
software runtime : 500x faster
Baobab Soluciones
Routing Optimization
Workforce routing and scheduling problem that came from a major European telecommunication operator
2019
overtime work : -90%
delivery delays : -10%
AGP Glass
Production Scheduling
A multi-machine scheduling problem to maximize efficiency and minimize delivery times
.jpg)
2020
picking distances : -50%
software runtime : < 1 min
Totto
Warehouse Optimization
A slotting and picking problem from one of the major latin american fashion companies
2019
workforce shortage : -50%
transportation cost : -50%
Airline company
Airport staff planning
A complex problem combining the optimization of both staff schedule and their home-work transportation by cabs