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Number of documents

6

Mohammed Hichame BENBITOUR, Postdoctoral scholar in Industrial Engineering


Experience

  • Postdoctoral Scholar in Industrial Engineering, Laboratoire Genie Industriel, CentraleSupélec.

 

Education

  • PhD, CentraleSupélec.
  • Master, Modelling and Management of Organizations, Ecole Centrale de Lille.
  • Engineer in industrial engineering, Ecole Nationale Polytechnique (Algeria).

 

Research Interests: operations management, inventory management, automotive industry

 

 


Journal articles1 document

  • Mohammed Hichame Benbitour, Evren Sahin, Yves Dallery. The use of rush deliveries in periodic review assemble-to-order systems. International Journal of Production Research, Taylor & Francis, 2019, pp.1-20. ⟨hal-01997380⟩

Conference papers4 documents

  • Mohammed Hichame Benbitour, Evren Sahin. The use of internal cross-docking in just-in-time plants. 12e Conférence Internationale de Modélisation, Optimisation et Simulation, Jun 2018, Toulouse, France. ⟨hal-01793491⟩
  • Mohammed Hichame Benbitour, Evren Sahin, Yves Dallery. Components’ demand analysis in Assemble-to-Order systems: An analysis method . 7th International Conference on Industrial Engineering and Systems Management, Oct 2017, Saarbrücken, Germany. ⟨hal-01657807⟩
  • Mohammed Hichame Benbitour, Evren Sahin. A comparison of different cross-docking organizations in a JIT manufacturing system; application in the automotive industry. International Conference on Industrial Engineering and Systems Management (IEEE-IESM’2015), Oct 2015, Seville, Spain. ⟨hal-01266198⟩
  • Mohammed Hichame Benbitour, Evren Sahin. Evaluation of the Impact of Uncertain Advance Demand Information on Production/Inventory Systems. 15th IFAC Symposium on Information Control Problems in Manufacturing, May 2015, Ottawa, Canada. ⟨10.1016/j.ifacol.2015.06.337⟩. ⟨hal-01199290⟩

Reports1 document

  • Mohammed Hichame Benbitour, Evren Sahin, Yves Dallery. Proposition of a Method enabling Components Requisitions and Forecasts Analysis in Assemble-to-Order Systems. [Technical Report] CentraleSupélec. 2018. ⟨hal-01802516⟩