Yacine Rekik is a Full Professor of Decision Sciences at ESCP Business School (Paris campus).
Prof. Rekik's research focuses on developing models that provide both qualitative and quantitative insights into the digital transformation of supply chains. His work explores topics such as the impact of RFID technology on supply chain performance, examining how it drives cost reduction and enhances service levels. He also investigates omnichannel supply chain strategies and data-driven flow management, leveraging advanced analytics and machine learning to address complex challenges. As an active member of the Efficient Consumer Response (ECR) community, Prof. Rekik is deeply involved in research on Inventory Record Inaccuracy (IRI). He develops algorithmic and data-driven solutions, including machine learning techniques, to tackle this critical issue and optimize supply chain efficiency.
He holds a PhD in Industrial Engineering from École Centrale Paris and an Accreditation to Supervise Research (HDR) from INSA Lyon. Before joining ESCP Business School, he served as a Research Associate at the Distributed Information and Automation Lab at the University of Cambridge (UK) and spent 15 years as a Professor at emlyon business school (France).
With a strong commitment to advancing both academic research and industry practice, Prof. Rekik's contributions continue to shape the future of decision sciences and supply chain management