Sanchari Guha Niyogi | Operations Management | Best Researcher Award

Ms. Sanchari Guha Niyogi | Operations Management | Best Researcher Award

PhD Student at IIM Kozhikode, India

Sanchari Guha Niyogi is a doctoral candidate at the Indian Institute of Management, Kozhikode, specializing in supply chain modeling, game theory, and electric vehicle (EV) market dynamics. With a strong academic background in engineering and management, she has published extensively in ABDC-ranked journals and presented at prestigious conferences. Her research focuses on optimizing EV supply chains, policy design, and strategic decision-making in platform-based economies.

Publication ProfileΒ 

Orcid

Educational Background πŸŽ“

  • Doctor of Philosophy (Ph.D.) – Indian Institute of Management, Kozhikode (2021-2025, Expected)
    • Thesis: β€œCharging Ahead: A Multistakeholder Analysis of the Electric Vehicle Revolution”
    • GPA: 3.67/4
  • Bachelor of Engineering (Printing Engineering) – Jadavpur University, Kolkata (2017-2021)
    • Gold Medalist
    • GPA: 9.29/10

Professional Experience πŸ’Ό

  • Researcher & Case Author – IIM Kozhikode
    • Developed case studies published in The Case Centre, Financial Express, and IIMK Case Repository.
    • Collaborated with senior faculty on game-theoretic models and supply chain policy frameworks.
  • Conference Presenter & Organizer
    • Delivered research findings at global conferences (POMS, IEEM, IIM Ahmedabad).
    • Hosted and anchored key academic events, including the Globalising Indian Thought Conclave (2023) and ICA Asia-Pacific Research Conference (2024).

Research Interests πŸ”¬

  • Electric Vehicle Supply Chain & Policy Design
  • Game Theory & Optimization in Operations Management
  • Platform-based Business Models & Sharing Economy
  • Sustainable Mobility & Green Energy Transition

Awards and HonorsπŸ†βœ¨

  • Gold Medalist – Jadavpur University (2021)
  • Outstanding Woman Researcher – Springer Nature India & Indian Council of Social Science Research (2024)

Conclusion🌟

Sanchari Guha Niyogi is a distinguished young researcher making significant contributions to EV policy, sustainable supply chains, and strategic operations management. With a strong academic foundation, impactful publications, and an active role in professional organizations, she is shaping the discourse on electric mobility and platform economies.

Publications πŸ“š

  1. πŸš—βš‘ Accelerating the Electric Vehicle Revolution: Policy Implications of Charging Subsidies and Green Taxes
    πŸ“– EURO Journal on Transportation and Logistics (2025)
    πŸ”— DOI: 10.1016/j.ejtl.2025.100152
    ✍️ Contributor: Sanchari Guha Niyogi
    πŸ“œ ISSN: 2192-4376

  1. πŸ πŸš€ Airbnb on MARS: A Pricing Odyssey
    πŸ“– The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Shovan Chowdhury


  2. πŸš–βš‘ BluSmart’s Electric Trick: Reshaping India’s Ride-hailing Landscape
    πŸ“– The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen


  3. ⚑🏍️ Re-Volt Rush: Gogoro’s Electrifying India Debut
    πŸ“– The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen


 

 

 

Ikhlef JEBBOR | Industrial engineering | Excellence in Research

Dr. Ikhlef JEBBOR | Industrial engineering | Excellence in Research

ibn Tofail University at National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

A Ph.D. candidate in Sustainable Optimization of Manufacturing and Supply Chain with extensive experience in both academia and industry. Focuses on lean manufacturing, production optimization, and AI for sustainable development. Currently an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), leading process improvements in the automotive industry. Expert in project management, operational research, and continuous improvement strategies such as Six Sigma and Kaizen. Has published numerous peer-reviewed articles and presented at international conferences on sustainability and advanced manufacturing techniques.

Professional Profile

Scopus Profile

Education:

  • Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain (ENSA Kenitra, Ibn Tofail University, 2022 – Current)
  • State Engineer, Industrial Engineering (GI) (FST Errachidia, Moulay Ismail University, 2010 – 2013)
  • Physics & Chemistry Teacher Education Diploma (CPR Mohamed V SAFI, Morocco, 2009 – 2010)
  • Professional University Degree, Renewable Energies and Sustainable Development (ERDD) (Faculty of Sciences -Agadir, Ibn Zohr University, 2007 – 2009)
  • General University Degree, Physical Matter Sciences (SMP) (Faculty of Sciences -Agadir, Ibn Zohr University, 2005 – 2007)
  • BAC, Experimental Science (Salah Eddin Elayyoubi High School, Tinghir, 2005)

Professional Experience:

Sumitomo Electric Wiring Systems (SEWS-E)

  • Engineering Project Leader (Feb 2021 – Current)
  • Senior Project Engineer (Aug 2018 – Jan 2021)
  • Process Engineer (Sep 2015 – Aug 2018)
  • Work Study Engineer (May 2014 – Aug 2015)

Research Interests:

  • Facilities Design and Optimization
  • Lean Manufacturing
  • Production Planning and Scheduling
  • Supply Chain Management
  • Mathematical Modeling and Optimization

Awards and Honors:

  • Outstanding Project Leader Award
    Sumitomo Electric Wiring Systems (SEWS-E), 2022
    Recognized for leading key process improvements in automotive production, significantly enhancing efficiency and innovation.
  • Excellence in Lean Manufacturing Implementation
    Sumitomo Electric Wiring Systems (SEWS-E), 2020
    Awarded for implementing lean manufacturing strategies that resulted in significant cost savings and production efficiency.
  • Best Paper Award
    International Conference on Industrial Engineering and Applications (ICIEA), 2023
    Awarded for presenting the paper on “Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line.”
  • Research Excellence Award
    ENSA Kenitra, Ibn Tofail University, 2022
    For contributions to sustainable optimization of manufacturing and supply chain research, particularly in the automotive industry.
  • Innovation Award for Sustainable Practices
    Sustainability and Advanced Manufacturing Techniques Conference, 2023
    Honored for innovative research in applying AI and optimization techniques for sustainable manufacturing practices.

Conclusion:

With an extensive background in industrial engineering, lean manufacturing, and AI applications, I have consistently delivered impactful results in both academia and industry. My experience as an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E) and my ongoing doctoral research on the sustainable optimization of manufacturing and supply chain systems equip me with a strong foundation for tackling complex industry challenges.

Through my research, publications, and practical experience, I aim to contribute to the development of more efficient, sustainable, and innovative manufacturing processes. I am committed to driving continuous improvement through the application of cutting-edge methodologies such as Six Sigma, Kaizen, and AI-driven optimizations. As I continue to advance in both academia and industry, I strive to shape the future of sustainable industrial engineering and contribute to global efforts for sustainable development.

Publication Top Notes

  1. πŸ“Š Article: Forecasting supply chain disruptions in the textile industry using machine learning: A case study
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Journal: Ain Shams Engineering Journal, 2024, 15(12), 103116
    • Citations: 1
  2. 🌍 Conference Paper: Optimization of Carbon Emissions in Asphalt Pavement Construction
    • Authors: Benmamoun, Z., Elkhechafi, M., Abdo, A.A., Jebbor, I.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  3. 🧠 Conference Paper: Comparison of Generative AI Models in Supply Chain Management: Benefits, Applications and Challenges
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Hachimi, H.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  4. πŸ€– Article: Generative AI for enhanced operations and supply chain management
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Serrou, D.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 6637
    • Citations: 1
  5. 🌱 Article: Revolutionizing cleaner production: The role of artificial intelligence in enhancing sustainability across industries
    • Authors: Jebbor, I., Benmamoun, Z., Hachmi, H.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 7455
    • Citations: 1
  6. πŸ“‰ Article: Leveraging variational autoencoders and recurrent neural networks for demand forecasting in supply chain management: A case study
    • Authors: Khlie, K., Benmamoun, Z., Fethallah, W., Jebbor, I.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(8), 6639
    • Citations: 5
  7. πŸ“š Conference Paper: Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning
    • Authors: Mousse, M.A., Almufti, S.M., GarcΓ­a, D.S., Aljarbouh, A., Tsarev, R.
    • Conference: Lecture Notes in Networks and Systems, 2024, 935 LNNS, pp. 175–183
    • Citations: 2
  8. πŸš— Conference Paper: Application of Manufacturing Cycle Efficiency to Increase Production Efficiency: Application in Automotive Industry
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Conference: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024
    • Citations: 3
  9. πŸ”§ Conference Paper: Process Improvement of Taping for an Assembly Electrical Wiring Harness
    • Authors: Jebbor, I., Raouf, Y., Benmamoun, Z., Hachimi, H.
    • Conference: Lecture Notes in Business Information Processing, 2024, 507 LNBIP, pp. 35–48
    • Citations: 3
  10. βš™οΈ Article: Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry
  • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
  • Journal: Processes, 2023, 11(11), 3136
  • Citations: 10