Jabir Arif | Agricultural and Biological Sciences | Best Researcher Award
Assoc Prof Dr Jabir Arif, Sidi Mohamed Ben Abdellah University, Morocco
Jabir Arif is a distinguished scholar in Industrial Engineering and Logistics. His expertise encompasses Supply Chain Management, IoT, AI, and Risk Assessment. Jabir has published extensively in high-impact journals and has presented at international conferences. He has pioneered innovative solutions for logistics optimization, significantly enhancing efficiency and reducing costs across various industries. In addition to his research, he has actively collaborated with industry partners, contributing to the development of new tools and methodologies. Jabir also organizes workshops and seminars, and serves as a reviewer and Technical Committee member for prestigious journals and conferences. ππ¦π
Publication profile
Education
Experience
Jabir Arif has significantly contributed to R&D, innovations, and extension activities in Industrial Engineering and Logistics π¦. His research spans Supply Chain Management, Outsourcing of Logistics, Risk Assessment, IoT, AI, and Industrial Engineering π€. Jabir has published in high-impact journals and presented at international conferences π. He has advanced IoT and AI in supply chain management, creating innovative solutions for risk assessment and logistics optimization π. His work has practical applications in various industries, enhancing efficiency and reducing costs π. Additionally, Jabir organizes workshops, seminars, and training sessions π, and serves as a reviewer for prestigious journals and conferences π.
Awards
Jabir Arif is a distinguished speaker at IEOM Society events π, presenting on “Global Supply Chain and Logistics” in 2022 and 2023 π . He is a member of the Industrial Engineering and Operations Management Society and serves as Faculty Advisor for IEOM Student Chapters π«. He is on the steering committee for the International Congress of Engineering and Complex Systems and has chaired oral sessions at the International Conference on Digital Technologies and Applications π€. Jabir is a permanent researcher at the Research Laboratory of Technologies and Industrial Services in Fez and an associate researcher at the Research Laboratory of Modeling and Optimization of Industrial and Logistics Systems in Tetouan π¬. Additionally, he is a member of IEEE and a reviewer for prestigious journals in Industrial Engineering and Operations Management π.
Research focus
Dr. J Arif’s research primarily focuses on logistics and supply chain management, emphasizing the implementation of advanced technologies like the Internet of Things (IoT) and Industry 4.0. His work includes improving traceability processes, risk assessment in logistics outsourcing, and enhancing logistics service performance. He has contributed significantly to understanding the integration of lean management with modern technological frameworks in supply chains. His studies also explore the sustainability aspects of supply chains through IoT applications and demand forecasting techniques in various industries, including automotive and semiconductor manufacturing. ππ¦ππ‘πΏ
Publication top notes
- Proposing a supply chain collaboration framework for synchronous flow implementation in the automotive industry: A moroccan case study
- Design on improvement of traceability process in the outsourcing of logisticsβ activities using the internet of things (IoT) applications
- Outsourcing of logisticsβ activities: Impact analysis on logistics service performance
- Risk matrix model applied to the outsourcing of logistics’ activities
- Lean supply chain management and Industry 4.0 interrelationships: the status quo and future perspectives
- Demand forecasting application with regression and IoT based inventory management system: a case study of a semiconductor manufacturing company
- The use of internet of things (IoT) applications in the logistics outsourcing: Smart RFID tag as an example
- Scrutinizing IoT applicability in green warehouse inventory management system based on Mamdani fuzzy inference system: a case study of an automotive semiconductors industrial firm
- IoT for the future of sustainable supply chain management in Industry 4.0: a Systematic Literature Review
- Exploratory study of the role of logistics service providers in terms of traceability in the process of outsourcing of logisticsβ activities: case of moroccan LSP