OR68 2026 Nottingham, United Kingdom

Events

Marion Technical Writer August 18, 2026

Hexaly is proud to be a Headline Sponsor of OR68 2026: From Data to Decisions, the flagship annual conference of the Operational Research Society (ORS). OR68 will take place September 8–10, 2026, at the University of Nottingham, United Kingdom. The conference brings together academics, practitioners, and industry leaders to explore the latest advances in operational research, analytics, data science, and decision-making.

Hosted by the Operational Research Society, OR68 provides a unique opportunity to exchange ideas, present innovative research, and discuss how analytical methods and optimization technologies can help organizations address increasingly complex business and societal challenges.

As a Headline Sponsor, Hexaly looks forward to connecting with the UK and international Operational Research community and demonstrating how Hexaly Optimizer extends traditional Mixed-Integer Programming (MIP) to solve large-scale, real-world optimization problems.

Meet Hexaly at OR68 2026 in Notthingham

Visit the Hexaly booth and meet Léa Blaise, Ph.D., Senior Optimization Scientist, and Maxime Rougier, Optimization Scientist. Whether you work in academia or industry, stop by our booth to discuss your optimization challenges and discover how Hexaly helps organizations solve complex planning, scheduling, routing, packing, and resource allocation problems more efficiently.

Don’t miss Léa’s and Maxime’s technical presentations at the conference. They will present the latest innovations in Hexaly 15.0 and discuss the technologies behind Hexaly’s next-generation optimization solver, illustrating how modern optimization techniques can tackle increasingly complex business and industrial challenges.

Hexaly, the next-generation MIP solver
Léa Blaise, Ph.D., Senior Optimization Scientist, Hexaly, and Maxime Rougier, Optimization Scientist, Hexaly
Wednesday, September 9, 9:00 – 10:30, Room D02

Hexaly Optimizer is the next-generation MIP solver. Its modeling interface is nonlinear and set-oriented. In a sense, Hexaly APIs unify and extend modeling concepts from mixed-linear programming, nonlinear programming, constraint programming, and black-box optimization.

Under the hood, Hexaly combines exact and heuristic optimization methods, such as branch-and-bound, automatic Dantzig-Wolfe reformulation, column and row generation, propagation, local search, direct search, and surrogate modeling techniques. Regarding performance benchmarks, Hexaly distinguishes itself from leading solvers such as Gurobi, IBM Cplex, and Google OR Tools by delivering scalable solutions for Routing, Scheduling, Packing, Clustering, and Location problems.

This talk introduces our set-based modeling formalism and highlights its scalability for large instances, while explaining how the solver automatically leverages state-of-the-art exact and heuristic techniques.

Hexaly Workshop: Modeling and solving packing problems with Hexaly Studio
Léa Blaise, Ph.D., Senior Optimization Scientist, Hexaly, and Maxime Rougier, Optimization Scientist, Hexaly
Wednesday, September 9, 10:50 – 12:00, Room D02

Hexaly Optimizer is a next-generation mathematical optimization solver that extends the traditional Mixed-Integer Programming (MIP) paradigm with a richer modeling framework. Alongside classical algebraic formulations, it supports native combinatorial constructs, nonlinear expressions, and black-box optimization, enabling users to express complex optimization problems in a compact and natural way. By preserving high-level problem structure, Hexaly automatically leverages advanced algorithmic techniques, including decomposition methods, column generation, branch-price-and-cut, and decision diagrams. As a result, it delivers state-of-the-art performance across challenging optimization domains such as routing, scheduling, packing, simulation-based optimization, machine-learning-driven decision problems, and more.

In this hands-on workshop, we will focus on the application of Hexaly to packing problems, showcasing how the solver’s set-based modeling capabilities naturally align with the structure of these problems. Participants will be guided through building and solving real-world packing problems using Hexaly Studio, a web-based integrated development environment designed specifically for optimization modeling. Hexaly Studio features intuitive dashboards, interactive widgets, and graphical solution visualizations, making it easy to both formulate models and interpret results. Through guided examples and interactive problem-solving, participants will gain hands-on experience with Hexaly and will be equipped to explore it further in their own research or applied projects.

We look forward to meeting the Operational Research community at OR68 2026: From Data to Decisions and exchanging ideas with researchers, practitioners, and industry experts from across the field.

Explore our upcoming conferences, events, and webinars to see where the Hexaly team will appear next.