GARCIA David

Researcher-lecturer

dgarcia[at]cesi.fr

+33 6 98 48 73 53

https://www.researchgate.net/profile/David-Garcia-55

Campus CESI de Lyon
15, avenue Albert Einstein
69100 Villeurbanne

Research interest

Systems engineering, industrial systems engineering, operational research, scientific computing and numerical simulation

Educational activities

  • Disciplines : Industrial system Engineering
  • Activities : educational tutoring engineering students, educational design

Background

Phd

University of Saint-Etienne

« Contribution to the development of models for polymer injection process optimization »

2002

Research Master IMAGE (grade fair)

University of Joseph-Fourier

« Instrumentation, Image processing »

1998

Current Research Program

Dynamic flexible job-shop scheduling problem (DFJSP)

Scientific animation

In charge of research and innovation activities for CESI SUD-EST region

Member of thesis committees

  • Garcia, David & Tlahig, Houda & Bettayeb, Belgacem & Sahnoun, M'hammed. (2021). Evaluation of Dispatching Rules Performance for a DJSSP: Towards their Application in Industry 4.0. International Conference On Cyber Management And Engineering (CyMaEn), DOI: 10.1109/CyMaEn50288.2021.9497286
  • Bayesian Network Structure Learning With Applications In Features Selection - Sergio Rodriguès de Morais, Université Claude Bernard Lyon 1 Laboratoire LIESP, 2009
  • Simulation du refroidissement isochore d'un polymère semicristallin : prise en compte du diagramme PVT - Nadia Brahmia, Insa-Lyon, 2007
  • Méthodes particulaires en vue de la simulation en plasturgie – Lucie Freret, Laboratoire Mathématiques Appliquées aux Systèmes, Ecole Central de Paris, 2007

Publications

Synthèse (2000-2021)

  • ACL : 5
  • INV : 0
  • ACTI : 1
  • ACTN : 0
  • OS : 0
  • Brevets : 1
  • Articles de vulgarisation : 0

Selected publication

  • Garcia, David & Tlahig, Houda & Bettayeb, Belgacem & Sahnoun, M'hammed. (2021). Evaluation of Dispatching Rules Performance for a DJSSP: Towards their Application in Industry 4.0. International Conference On Cyber Management And Engineering (CyMaEn), DOI: 10.1109/CyMaEn50288.2021.9497286.
  • Garcia, David & Goff, Ronan & Gasse, Maxime & Aussem, Alexandre. (2014). Optimal Sensor Locations for Polymer Injection Molding Process. Key Engineering Materials. 611-612. 1724-1733. 10.4028/www.scientific.net/KEM.611-612.1724.
  • Agazzi, A., Sobotka, V., Le Goff, R., Garcia, D., Jarny Y. A Methodology for the Design of Effective Cooling System in Injection Moulding. Int J Mater Form 3, 13–16 (2010). https://doi.org/10.1007/s12289-010-0695-2
  • M'hamed BOUTAOUS, Patrick BOURGIN, Daniel HENG, David GARCIA, Optimization of radiant heating using the ray tracing method: Application to thermoforming, Journal of Advanced Science, 2005, Volume 17, Issue 1+2, Pages 139-145. https://doi.org/10.2978/jsas.17.139
  • Guy Courbebaisse, David Garcia, Shape analysis and injection molding optimization,Computational Materials Science, Volume 25, Issue 4, 2002, https://doi.org/10.1016/S0927- 0256(02)00333-6.
  • Guy Courbebaisse, David Garcia, Shape analysis and injection molding optimization, Computational Materials Science, Volume 25, Issue 4, 2002, https://doi.org/10.1016/S0927- 0256(02)00333-6.
  • Michel Jourlin, Guy Courbebaisse, David Garcia, Polymer molding simulation – a mathematical imaging approach based on propagation of discrete distances, Computational Materials Science, 2000, https://doi.org/10.1016/S0927-0256(99)00096-8.