EL KIHEL Yousra

Research team

Engineering and Numerical Tools

---

Educational activities

Research interest

• Supply Chain Modeling
• Modeling complex systems 
• Performance evaluation and Lean 4.0
• Industry 4.0 and digital maturity

Publications

• El Kihel, Y., Zouggar Amrani, A., Ducq, Y., Amegouz, D., & Lfakir, A. (2023). Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance. International Journal of Computer Integrated Manufacturing, 1-25.
• Kihel, Y. E., Kihel, A. E., & Embarki, S. (2022). Optimization of the sustainable distribution supply chain using the lean value stream mapping 4.0 tool: A case study of the automotive wiring industry. Processes, 10(9), 1671.
• Kihel, Y. E., Kihel, A. E., & Bouyahrouzi, E. M. (2022). Contribution of Maintenance 4.0 in Sustainable Development with an Industrial Case Study. Sustainability, 14(17), 1-29.
• El Kihel, Y. (2021). Contribution to Supply Chain modelling for management performance assesment and integration of industry technologies 4.0 : Application to the automotive case of MSA Morocco (Doctoral dissertation, Bordeaux).
• Kihel, Y. E. (2022). Digital Transition Methodology of a Warehouse in the Concept of Sustainable Development with an Industrial Case Study. Sustainability, 14(22), 15282.
• El Kihel, Y., Amrani, A., Ducq, Y., & Amegouz, D. (2019, June). Implementation of Lean through VSM modeling on the distribution chain: Automotive case. In 2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA) (pp. 1-7). IEEE.
• El Kihel, Y., Amrani, A., & Ducq, Y. (2020, November). Linking 4.0 Technologies and performance indicators based on a reference Model for supply chain. 13th INTERNATIONAL CONFERENCE ON MODELLING, OPTIMIZATION AND SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, MOROCCO.
• El Kihel, Y., El Kihel, A., & Embraki, S. (2022, July). Methodology for Eliminating Waste Combining Lean Logistics and 4.0 Technologies With a Case Study of a Warehouse of a Food Company. In The 5th European International Conference on Industrial Engineering and Operations Management (pp. 1574-1586). IEOM Society International.
• Bouyahrouzi, El Mahdi, et al. “Defining and Implementing Predictive Maintenance Based on Artificial Intelligence for Rotating Machines.” International Conference on Digital Technologies and Applications. Cham: Springer Nature Switzerland, 2023.
• El Kihel, Y., Bakdid, A., & El Kihel, A. (2022, May). Optimization of Industrial Energy Efficiency by Intelligent Predictive Maintenance Tools, Case of Coupling Misalignment and Unbalance for an Industrial System. In International Conference on Electronic Engineering and Renewable Energy Systems (pp. 1055-1063). Singapore: Springer Nature Singapore.
• Elkihel, A., Bakdid, A., Elkihel, Y., & Gziri, H. (2021, November). Optimization of Energy Consumption of a Thermal Installation Based on the Energy Management System ENMS. In International Conference on Advanced Technologies for Humanity (pp. 311-319). Cham: Springer International Publishing.
• Yousra El Kihel, A. Amrani, Yves Ducq. Linking 4.0 Technologies and performance indicators based on a reference Model for supply chain. 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, Maroc, Nov 2020, AGADIR (virtual), Morocco. ffhal-03190640f
• Y. EL kihel, A. EL KIHEL, A.BAKDID, H. GZIRI, “Boiler efficiency optimization using artificial intelligence and the rsm response surface method” Issue 49, Volume 13, Number 4, December 2021 (Serial No: 0049-1304-1221) of International Journal on “Technical and Physical Problems of Engineering” (IJTPE) .
• A.Meksoub, Y. El kihel, A. Elkihel, A. Bakdid. “Efficiency and compliance of a steam boiler with standards and regulations”. International Journal on Technical and Physical Problems of Engineering (IJTPE), Published by International Organization of IOTPE, 2022 (Indexé SCOPUS)
• S. HMIDACH, Y. EL KIHEL ,D. AMEGOUZ,B. ElKIHEL,, REGAD,Y.,« Optimization of industrial energy efficiency by intelligent predictive maintenance tools case of misalignment of an industrial system», 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020, 9314505. DOI : 10.1109/ICECOCS50124.2020.9314505
• Kihel, A. E., Bouyahrouzi, E. M., Bakdid, A., Kihel, Y. E., Gziri, H., & Saka, E. A. Bearing Fault Detection based on Artificial Neural Networks for the implementation of predictive maintenance. In Proceedings of the The organizing Committee of the 2nd International Conference on Embedded Systems and Artificial Intelligence “ESAI (Vol. 21, p. 14).
• ELKIHEL, A., DEROUICHE, I., EL KIHEL, Y., BAKDID, A., GZIRI, H.Artificial Intelligence Based on the Neurons Networks at the Service Predictive Bearing. WITS 2020. LectureNotesinElectricalEngineering,Vol. 745, Pages 145 – 156,2022. Springer DOI: https://doi.org/10.1007/978-981-33-6893-4_14