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- HOMRI Lazhar
HOMRI Lazhar
Associate Professor (HDR)
Enseignant-chercheur
Production System Design
Research interest:
Variation and uncertainty management within product development
Evaluation and improvement of manufacturing system performances based on AI and Digital Twins concepts
https://scanr.enseignementsup-recherche.gouv.fr/authors/idref184432790
https://www.researchgate.net/profile/Lazhar-Homri?ev=hdr_xprf
Experiences:
Since 2015: Associate Professor at Arts et Metiers Institute of Technology (ENSAM), LCFC Laboratory - EA4495
2014 - 2015: Assistant professor at Arts et Metiers Institute of Technology (ENSAM), LCFC Laboratory - EA4495
2011 - 2014: Lecturer at Bordeaux University
Education:
2025: Habilitation (HDR) on Mechanics, Bordeaux University
2014: PhD on Mechanics, Bordeaux University Institute of mechanics and engineering (I2M) – UMR CNRS 5295
2011: Master’s degree in applied mathematics, Aix-Marseille university
Enhancing Fault Diagnosis in Process Industries with Internal Variables of Model Predictive Control.
IFAC-PapersOnLine. 2024;58(4):538-543.
Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models.
Journal of Computing and Information Science in Engineering. 2023;23(5):051003.
Development and analysis of a holistic function-driven adaptive assembly strategy applied to micro gears.
Journal of Manufacturing Systems. 2023;69:48-63.
Evolutionary Cost-Tolerance Optimization for Complex Assembly Mechanisms Via Simulation and Surrogate Modeling Approaches: Application on Micro Gears.
International Journal of Advanced Manufacturing Technology. 2023;126(9-10):4101–4117.
Development of a flexible data management system, to implement predictive maintenance in the Industry 4.0 context.
International Journal of Production Research. 2023;17.
A Framework for Integration of Resource Allocation and Reworking Concept into Design Optimisation Problem.
IFAC-PapersOnLine. 2022;55(10):1037-1042.
Modular cost model for Tolerance allocation, Process selection and Inspection planning.
Procedia CIRP. 2022;114:1-6.
An integrated resource allocation and tolerance allocation optimization: A statistical-based dimensional tolerancing.
Procedia CIRP. 2022;114:88-93.
Conceptual Maps of Reliability Analysis Applied in Reconfigurable Manufacturing System.
2021;AICT-634(Part V):136-145.
Modularity-based quality assessment of a disruptive reconfigurable manufacturing system-A hybrid meta-heuristic approach.
International Journal of Advanced Manufacturing Technology. 2021;115:1421-1444.
Optical process monitoring for Laser-Powder Bed Fusion (L-PBF).
CIRP Journal of Manufacturing Science and Technology. 2020;31:607-617.
Multiphysical tolerance analysis – Assessment technique of the impact of the model parameter imprecision.
Procedia CIRP. 2020;92:206-211.
Framework for tolerance analysis of over-constrained mechanisms with form defects.
Procedia CIRP. 2020;92:3-8.
Key Characteristics identification by global sensitivity analysis.
International Journal on Interactive Design and Manufacturing. 2019;14(2):423-434.
Probabilistic-based approach using Kernel Density Estimation for gap modeling in a statistical tolerance analysis.
Mechanism and Machine Theory. 2019;139:294-309.
Optimum machine capabilities for reconfigurable manufacturing systems.
International Journal of Advanced Manufacturing Technology. 2018;95(9-12):4397-4417.
Tolerance analysis — Form defects modeling and simulation by modal decomposition and optimization.
Computer-Aided Design. 2017;91:46-59.
Geometrical variations management for additive manufactured product.
CIRP Annals - Manufacturing Technology. 2017;66(1):161-164.
Review of data mining applications for quality assessment in manufacturing industry: Support Vector Machines.
International Journal of Metrology and Quality Engineering. 2015;6(4):59p..
Tolerance Analysis by Polytopes: Taking into account degrees of freedom with cap half-spaces.
Computer-Aided Design. 2015;62(C):112--130.