LAURAS Matthieu

Associate Professor
Téléphone : 
05 63 49 3216
Email : 
Site Perso : 
Domaine(s) d'enseignement : 
Génie industriel
Gestion
gestion de production
Informatique et génie des systèmes d'information
Sciences de l'ingénieur
Management d'établissement/entreprise
Sciences de l'information et de la communication
Modélisation et simulation
Domaine(s) de recherche : 
Systèmes d'organisation de l'entreprise
Systèmes
Systèmes d'information
Parcours professionnel : 

ACTIVITES PROFESSIONNELLES

FORMATION

  • Habilitation à Diriger des Recherches, Institut National Polytechnique de Toulouse, 2013
  • Doctorat Systèmes Industriels, Institut National Polytechnique de Toulouse, 2004
  • Ingénieur Génie Industriel, Ecole des Mines d’Albi, 2001
  • DEA Systèmes Industriels, Institut National Polytechnique de Toulouse, 2001

DOMAINES D’ENSEIGNEMENT

Supply Chain Management, Gestion des Opérations de Production, Management de Projet, Business Process Management, Création d’Activités, Marketing Logistique, Systèmes d’Information / ERP, Evaluation de Performance, Amélioration Continue.

DOMAINES DE RECHERCHE

Ingénierie des processus collaboratifs, Supply Chain Management, Gestion de crise, Logistique Humanitaire, Business Performance Management, Système d’Information de Médiation, Lean Management.

Publications : 

PUBLICATIONS - EXTRAITS (depuis 2009)

 

  1. M. LAURAS, H. PINGAUD, J. LAMOTHE, « An approach to diagnose local and collaborative supply chain processes », International Journal of Logistics and Supply Management, Vol. 5, N°3/4, pp. 375-395, 2009
  2. M. LAURAS, G. MARQUES, D. GOURC, “A multi-criteria approach to a more effective management of projects”, Decision Support Systems, Vol. 48, N°2, pp. 342-353, 2010
  3. A. CHARLES, M. LAURAS, L. VAN WASSENHOVE, “A model to define and assess the agility of supply chains: building on humanitarian experience”, International Journal of Physical Distribution & Logistic Management, Vol. 40, N°8/9, pp. 722-741, 2010
  4. M. LAURAS, J. LAMOTHE, H. PINGAUD, “A Business Process Oriented Method to Design Supply Chain Performance Measurement Systems”, International Journal of Business Process Performance, Vol. 12, N°4, pp. 354-376, 2011
  5. G. MARQUES, D. GOURC, M. LAURAS, “Multi-criteria performance analysis for decision making in project management”, International of Journal of Project Management, Vol. 29, N°8, pp. 1057-1069, 2011
  6. A. CHARLES, M. LAURAS, “An enterprise modelling approach for better optimisation modelling: application to the humanitarian relief chain coordination problem”, OR Spectrum, Vol.33, N°3, pp. 815-841, 2011
  7. U. OKONGWU, M. LAURAS, L. DUPONT, V. HUMEZ, “A decision support system for optimising the order fulfilment process”, Production Planning & Control, Vol.23, N°8, pp.581-598, 2012
  8. U. OKONGWU, J.-C. DESCHAMPS, M. LAURAS, J. FRANCOIS, “Impact of the Key Determinants of a Distributed Planning Process on the Performance of a Supply Chain”, Supply Chain Forum An International Journal, Vol. 12, N°4, pp. 50-61, 2012
  9. C. RONGIER, M. LAURAS, F. GALASSO, D. GOURC, “Towards a Crisis Performance Measurement System”, International Journal of Computer Integrated Manufacturing, Vol.26, N°11, pp. 1087-1102, 2013
  10. Okongwu, U., Morimoto, R., & Lauras, M. (2013). The maturity of supply chain sustainability disclosure from a continuous improvement perspective. International Journal of Productivity and Performance Management, 62(8), 827-855.
  11. Lauras, M., Benaben, F., Truptil, S., & Charles, A. (2015). Event-cloud platform to support decision-making in emergency management. Information Systems Frontiers, 17(4), 857-869.
  12. Lauras, M., Truptil, S., & Bénaben, F. (2015). Towards a better management of complex emergencies through crisis management meta‐modelling. Disasters, 39(4), 687-714.
  13. Florez, J. V., Lauras, M., Okongwu, U., & Dupont, L. (2015). A decision support system for robust humanitarian facility location. Engineering Applications of Artificial Intelligence, 46, 326-335.

  14. Galasso, F., Ducq, Y., Lauras, M., Gourc, D., & Camara, M. (2016). A method to select a successful interoperability solution through a simulation approach. Journal of Intelligent Manufacturing, 27(1), 217-229.