Mr. Ikhlef JEBBOR | Decision-making and Problem-solving | Industry Impact Leadership Award
Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco
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Early Academic Pursuits 🎓
Ikhlef Jebbor’s journey in academia began with a strong foundation in science and engineering. He graduated from Salah Eddin Elayyoubi High School in Tinghir with a BAC in Experimental Science in 2005. Driven by a passion for innovation and sustainable development, he pursued a General University Degree in Physical Matter Sciences (SMP) at the Faculty of Sciences, Ibn Zohr University, Agadir. His interest in renewable energy and sustainability led him to complete a Professional University Degree in Renewable Energies and Sustainable Development (ERDD) in 2009 at the same institution. These formative years laid the groundwork for his future explorations in industrial engineering and sustainability.
Building on this foundation, Ikhlef achieved a Physics and Chemistry Teacher Education Diploma in 2010 at CPR Mohamed V, Safi, Morocco, showcasing his ability to bridge theoretical knowledge and practical application. His academic achievements culminated with a degree as a State Engineer in Industrial Engineering at the FST Errachidia, Moulay Ismail University in 2013, equipping him with technical expertise to tackle complex challenges in manufacturing and supply chain systems.
Currently, he is pursuing a Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain at the ENSA Kenitra, Ibn Tofail University, focusing on sustainability and advanced optimization techniques. This academic trajectory underscores his commitment to innovation and continuous learning.
Professional Endeavors 💼
Ikhlef has accumulated diverse experiences in academia and industry, blending technical expertise with leadership skills. As an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), he has spearheaded critical process improvements in the automotive sector. His role demands innovation, efficiency, and the application of advanced methodologies, positioning him as a leader in production optimization and lean manufacturing.
In his professional capacity, Ikhlef has honed expertise in:
- Lean Manufacturing: Driving efficiency through waste reduction and process improvements.
- Production Planning and Scheduling: Ensuring seamless operations in manufacturing workflows.
- Supply Chain Optimization: Leveraging mathematical models to enhance resource allocation and logistics.
- Continuous Improvement Strategies: Mastering Six Sigma, Kaizen, and other methodologies to achieve operational excellence.
Ikhlef’s hands-on experience in managing multidisciplinary teams and implementing transformative changes showcases his ability to address modern industrial challenges effectively.
Contributions and Research Focus 🔍
Ikhlef’s research is centered on sustainable optimization in manufacturing and supply chain management. His work aims to integrate artificial intelligence (AI) and mathematical modeling to improve production efficiency while minimizing environmental impact. His ongoing doctoral research emphasizes:
- Enhancing manufacturing cycles to maximize production output.
- Developing sustainable supply chain practices to align with global environmental goals.
- Utilizing AI-driven tools to optimize industrial processes for long-term sustainability.
His expertise in operational research and process innovation is reflected in his peer-reviewed publications and contributions to international conferences. For instance, his 2023 paper, “Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Sector,” exemplifies his commitment to solving real-world problems through rigorous research.
Accolades and Recognition 🏆
Ikhlef has been recognized for his impactful contributions to both academia and industry. His thought leadership is evident in his active participation in international conferences, where he has presented groundbreaking ideas on sustainability and advanced manufacturing techniques. His publications in reputable journals underscore his dedication to sharing knowledge and fostering innovation.
Impact and Influence 🌍
Ikhlef’s work extends beyond technical achievements. His leadership at SEWS-E has led to substantial improvements in production efficiency, setting benchmarks for best practices in the automotive industry. By integrating AI with lean manufacturing principles, he is paving the way for more resilient and eco-friendly industrial processes. His dual role as a researcher and practitioner enables him to bridge theoretical insights with practical applications, influencing both academia and industry.
Legacy and Future Contributions 🌟
Looking ahead, Ikhlef aims to expand his research on AI-driven optimization and sustainable manufacturing. His vision includes mentoring future engineers and researchers, contributing to academic institutions, and collaborating with global organizations to address pressing challenges in industrial engineering. By combining his technical expertise with a deep commitment to sustainability, he is set to leave a lasting legacy in the fields of manufacturing and supply chain optimization.
Ikhlef Jebbor’s career is a testament to the power of interdisciplinary approaches in solving modern challenges. His journey serves as an inspiration to aspiring engineers and researchers committed to creating a sustainable future. 🌍
📝Notable Publications
Butterfly Algorithm for Sustainable Lot Size Optimization
Authors: Z. Benmamoun, W. Fethallah, M. Ahlaqqach, I. Jebbor, M. Benmamoun, …
Journal: Sustainability
Year: 2023
Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line
Authors: I. Jebbor, Z. Benmamoun, H. Hachimi, Y. Raouf, M. Haqqi, M. Akikiz
Journal: Industrial Engineering and Applications
Year: 2023
Towards a Smart and Sustainable Industry: Cycle Time Optimization
Authors: Y. Raouf, Z. Benmamoun, H. Hachimi, I. Jebbor, M. Haqqi, M. Akikiz
Journal: 2023 3rd International Conference on Innovative Research in Applied Science
Year: 2023
Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry
Authors: I. Jebbor, Z. Benmamoun, H. Hachimi
Journal: Processes
Year: 2023
Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning
Authors: M.A. Mousse, S.M. Almufti, D.S. García, I. Jebbor, A. Aljarbouh, R. Tsarev
Journal: Proceedings of the Computational Methods in Systems and Software
Year: 2024