
Tag: BL.Optim


BL.Optim, a better visualization for a better organization
Scheduling staff interventions can easily become a hard work with all the constraints to consider (working time, required skills, localization…).

A Well Deserved Award
Last September, one of our Ph.D. students (Liwen Zhang) participated in the 17th International ACS / IEEE Conference on Computer

Artificial Intelligence for Home Care Structures
The aging of the population leads to an increase in the number of people losing their autonomy and in situations

Scientific paper accepted at the QUATIC 2020 conference
A few weeks ago, 3 DRI engineers had their paper accepted in the QUATIC 2020 conference. QUATIC 2020 is the

Hackaton Fluvius: Challenge Met
As you know at Berger-Levrault, we are not afraid of challenges, on the contrary, we take them up with pleasure!Asset

Designing the right way to express constraints in a Java Architecture for Optimisation problems
We are often brought to solve problems with constraints in real life, such as: shopping in several distant stores, planning

Data visualisation to ease planning in Infosilem Academics
The InfoSilem Academics software (previously TimeTabler) automates and simplifies the creation of academic schedules for faculties. The scheduling is centered on the notion

Optimizing Maintenance Planning for CARL Software
The management of the maintenance interventions planning is complicated. A large set of constraints must be considered when managing the
