Contact

Email :
Phone number : +33 7 89 02 16 96

ResearchGate

Google Scholar

Campus CESI Nancy
6 Rue Bois du Chêne le Loup
Bât. Cassiopée
54500 Vandoeuvre-Lès-Nancy

Research team

Engineering and Numerical Tools


Educational activities

  • Fields : Modeling and simulation of production systems, Computer science, Operational research.
  • Modalities : Lectures, TP, TD, Active pedagogy.
  • Courses : Object-oriented programming, Algorithms, Database, Data Visualization, Operations Research.
  • Level : Engineers 1st and 2nd years, Bachelor 1st 2nd and 3rd years, 1st and 2nd years.

Background

  • PhD
    University of Lorraine, 2022
    « New integrated, multi-criteria remanufacturing strategies based on product performance and customer profiles »
  • Master degree
    USTHB Algiers, 2018
    Operation Research : Models and Methods for Engineering and Research
  • Bachelor degree
    USTHB Algiers, 2016
    Operation Research

Research interests

  • Remanufacturing
  • Supply chain
  • Operational research
  • Optimization

Publications

  • Belhocine, L., Dahane, M., & Yagouni, M. (Accepted on July 6th, 2021). Customer behaviour based multi-objective approach for the recovery and remanufacturing of used products: application to smartphones reconditioning process (The International Journal of Advanced Manufacturing Technology). 10.1007/s00170-021-07646-7
  • Belhocine, L., Dahane, M., & Yagouni, M. (2020, June). Performance and Usage Frequency Based Policy for Products Recovery and Remanufacturing. In 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) (Vol. 1, pp. 849- 854). IEEE. 10.1109/CoDIT49905.2020.9263780
  • Belhocine, L., Dahane, M., & Yagouni, M. (2020, October). Heuristic Based Strategy for Multi-Components Products Recovery and Remanufacturing. In 2020 5th International Conference on Logistics Operations Management (GOL) (pp. 1-6). IEEE. 10.1109/GOL49479.2020.9314728
  • Belhocine, L., Dahane, M., & Yagouni, M. (2019, October). Contribution to the optimisation of products recovery and remanufacturing: a multiobjective non-dominated sorting genetic algorithm based hybrid approach. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 134-139). IEEE. 10.1109/SMC.2019.8914300
  • Belhocine, L., Dahane, M., & Yagouni, M. (2019, February). Approche multiobjectif et hybride pour l’optimisation des décisions de récupération et de remise à neuf d’une politique de remanufacturing. In ROADEF 2019