Philippe Laborie Presents Hexaly at the Scheduling Seminar

Event Scheduling

Louisa Technical Writer October 23, 2024

We are excited to announce that Philippe Laborie, Senior Optimization Scientist at Hexaly, has been invited by Professor Zdeněk Hanzálek from the Czech Technical University in Prague to present at the Scheduling Seminar on November 20, 2024. The webinar will focus on using Hexaly to model and solve complex industrial scheduling problems using Hexaly’s innovative modeling formalism.

The Scheduling Seminar is a platform where experts in optimization and scheduling share insights and advancements in solving real-world problems. Philippe will be sharing his deep expertise in the field and demonstrating how Hexaly tackles a wide range of industrial optimization challenges, particularly in the areas of supply chain and workforce management. You will find the summary of his presentation below.

Hexaly Optimizer for Scheduling

Hexaly Optimizer is a model-and-run mathematical optimization solver that addresses a broad range of industrial optimization problems in the areas of supply chain and workforce management, such as routing, scheduling, packing, clustering, matching, assignment, or facility location. Its mathematical formalism extends classical Mixed-Integer Linear Programming with set, permutation and interval variables on which any usual algebraic operator (arithmetic, logic, relational, etc.) can be applied. Hexaly Optimizer is widely used in industry today, has performances often comparable to the best dedicated algorithms, allows compact modeling, scales well (with problem size and complexity) and is constantly improving. This seminar focuses on the use of Hexaly Optimizer to model and solve industrial scheduling problems. We show how to exploit the mathematical concepts of the input formalism to model several classic scheduling problems in an elegant and compact manner and give an idea of the solver’s performance compared to the state of the art. Next, we outline the various techniques employed under the hood to produce good-quality primal and dual solutions like constraint propagation, local search, large neighborhood search, linear relaxations, scheduling heuristics, or exact scheduling algorithms on particular sub-problems.

If you are interested in industrial scheduling or mathematical optimization, this is a session not to be missed! To learn more and register for the event, visit: https://schedulingseminar.com/