Léa Optimization Scientist

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Articles written by Léa

How Keolis Santé improves patient transport efficiency with Hexaly
Case study Transportation Vehicle Routing

How Keolis Santé improves patient transport efficiency with Hexaly June 10, 2024

Keolis Santé is a French company specializing in patient transport. It aims at tackling the challenges of medical transportation in France and innovating in the service of patient mobility. Keolis Santé is part of the Keolis Group, one of the leaders in the shared mobility market around the world. Medical transport is increasingly important in…

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Benchmark Bin Packing Problem (BPP) Hexaly vs Gurobi
Benchmark Packing

Hexaly vs Gurobi on the Bin Packing Problem May 20, 2024

The Bin Packing Problem is defined as follows. You have to assign items with known weights to bins with uniform capacity. The sum of weights of items assigned to each bin must be lower than its capacity. The objective is to minimize the number of bins used to place all items. On the Bin Packing problem, Hexaly…

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Benchmark New records for the Resource-Constrained Project Scheduling Problem (RCPSP) Hexaly vs Research
Benchmark Project Scheduling

Hexaly breaks records for the Resource-Constrained Project Scheduling Problem (RCPSP) April 22, 2024

In the Resource-Constrained Project Scheduling Problem (RCPSP), a project consists of a set of tasks that have to be scheduled. Each task has a given duration and cannot be interrupted. There are precedence constraints between the tasks: each task must end before any of its successors can start. There are a set of renewable resources.…

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Benchmark Job Shop Scheduling Problem (JSSP) Hexaly vs CPO, OR-Tools, Gurobi, Cplex
Benchmark Manufacturing Production Scheduling

Hexaly vs CP Optimizer, OR-Tools, Gurobi, Cplex on large-scale instances of the Job Shop Scheduling Problem (JSSP) March 11, 2024

In the Job Shop Scheduling Problem (JSSP), a set of jobs has to be processed on every machine in the shop. Each job consists of an ordered sequence of tasks, called activities, each representing the processing of the job by one of the machines. Each job has one activity per machine. Each activity can start…

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Benchmark New records for the Inventory Routing Problem (IRP) Hexaly vs Research
Benchmark

Hexaly establishes new records for the Inventory Routing Problem (IRP) February 26, 2024

The Inventory Routing Problem (IRP) is a variant of the Vehicle Routing Problem (VRP) with inventory management. A product, generally liquid or fluid, has to be shipped from a supplier to several customers over a given time horizon. Each customer defines a maximum inventory level. The supplier monitors each customer’s inventory and determines its replenishment…

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How SoftBank increases LPG delivery capacity by 25% with Hexaly
Case study Transportation Vehicle Routing

How SoftBank increases LPG delivery capacity by 25% with Hexaly April 24, 2023

SoftBank is a comprehensive telecommunications and internet company based in Japan. In addition to providing telecommunication services, they introduce new technologies and services like Artificial Intelligence (AI), Internet of Things (IoT), and robotics. This case study focuses on SoftBank’s Liquefied Petroleum Gas (LPG) delivery route optimization problem. Relying on Hexaly as mathematical optimization solver, SoftBank…

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Benchmark Resource-Constrained Project Scheduling Problem (RCPSP) Hexaly vs Google OR-Tools
Benchmark Project Scheduling

Hexaly vs Google OR-Tools on the Resource-Constrained Project Scheduling Problem (RCPSP) March 27, 2023

In the Resource-Constrained Project Scheduling Problem (RCPSP), a project consists of a set of tasks that have to be scheduled. Each task has a given duration and cannot be interrupted. There are precedence constraints between the tasks: each task must end before any of its successors can start. There are a set of renewable resources.…

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Why CNES selected Hexaly to schedule satellite communication
Case study Aerospace

Why CNES selected Hexaly to schedule satellite communication November 29, 2021

Centre National d’Etudes Spatiales (CNES) is the French space agency responsible for shaping and implementing France’s space policy. With a €2.3 billion budget and 2,400 employees, CNES is a significant player in the European space scene. In 2018, CNES launched a public tender to solve a satellite communication scheduling problem. Hexaly Optimizer won an extensive…

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Benchmark Simple Assembly Line Balancing Problem (SALBP) Hexaly vs Gurobi vs CP Optimizer
Benchmark Manufacturing Production Scheduling

Hexaly vs Gurobi vs CP Optimizer on the Simple Assembly Line Balancing Problem (SALBP) November 1, 2021

The Simple Assembly Line Balancing Problem (SALBP) is defined as follows. A set of tasks must be gathered in groups called workstations. Each task requires some time to be processed. For each station, the sum of tasks’ processing times must not exceed a given limit, namely the cycle time. In addition, tasks should be processed according to…

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Announcement New release: LocalSolver 10.5
Announcement

New release: LocalSolver 10.5 June 21, 2021

We are pleased to announce the release of LocalSolver 10.5, which comes with many new features and performance improvements. Our colleague Léa from R&D gives some details in the following video. Here is the summary of the main novelties coming with LocalSolver 10.5. Vehicle Routing Problems Vehicle routing problems have never been solved faster: Scheduling & Packing…

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