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The Challenge
by Universidad

 Javeriana

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The Challenge by Universidad Javeriana

Prescriptive Analytics with real impact

What is the Challenge
First Prize Badge

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%

In a nutshel

Our Track Record

Image by G-R Mottez

2022

peak workload : -23%

software runtime : under 1min

Airbus

Aircraft manufacturing

Optimize aircraft manufacturing scheduling in order to minimize workload and makespan

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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

Plane on Runway

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

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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

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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.

Call Center Headset

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

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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

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2019

overtime work : -90% 

delivery delays : -10%

AGP Glass

Production Scheduling

A multi-machine scheduling problem to maximize efficiency and minimize delivery times

Track Record
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