M'hammed Sahnoun

Professor

France

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Professor M'hammed Sahnoun is a faculty member at LINEACT - CESI Group Rouen in France. His research focuses on optimization in job shop scheduling, human-robot collaboration, and multi-agent systems. He has authored several recent articles that explore innovative solutions using game theory, ant colony optimization, and deep neural networks to address industrial challenges. His work contributes significantly to advancements in manufacturing systems and intelligent automation.

Articles (21)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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Associate Professor

Université de Lorraine

FRANCE

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M'hammed Sahnoun

Research Interests

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About

Articles (21)

Fault diagnosis using deep neural networks for industrial alarm sequence clustering

Multi objective optimization of human–robot collaboration: A case study in aerospace assembly line

A game theory approach for optimizing job shop scheduling problems with transportation in common shared human–robot environments

A hybrid approach using ant colony optimisation for integrated scheduling of production and transportation tasks within flexible manufacturing systems

A multi-agent system simulation of job shop scheduling with human consideration: A comparative analysis of AGVs and AIVs

Energy savings and coverage optimization in edge WiFi sensor deployment for buildings: A multi-objective evolutionary approach

Optimized cooperative vehicle routing in multi-depot collection systems for circular economy: Model development and case study

Incorporating uncertain human behavior in production scheduling for enhanced productivity in Industry 5.0 context

Optimal Deployment of Fog-Based Solution for Connected Devices in Smart Factory

A multi-agent system simulation based approach for collision avoidance in integrated Job-Shop Scheduling Problem with transportation tasks

Sim-optimization hybrid approach for scheduling randomly deteriorating treatment tasks in horticulture

Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach

Modeling and simulation of human behavior impact on production throughput

Data architecture and model design for Industry 4.0 components integration in cyber-physical production systems

Modular mobile manipulators coalition formation through distributed transportation tasks allocation

Multi-period optimal schedule of a multi-product pipeline: A case study in Algeria

Simulation and optimization of robotic tasks for UV treatment of diseases in horticulture

Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach

Multi-component modeling and classification for failure propagation of an offshore wind turbine

User behaviour-based approach to define mobility devices needs of disabled person in Algeria: a questionnaire study

A simulated multi-objective model for flexible job shop transportation scheduling

Collaborators (5)

Nathalie Klement

Vincent Havard

Christian Gout

Ahmed NAIT CHABANE

Mohammed Dahane

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