Optimization in the Agri-Food Supply Chain: Recent Studies

This book discusses the optimization of supply chains in the agri-food and animal industries, and focuses on the integration of technology and sustainability practices. It explores the use of emerging technologies like IoT, Blockchain and AI in supply chain management, and also addresses the need for resilient supply chains and strategies for risk management.

Optimization in the Agri-Food Supply Chain provides an overview of various studies conducted in the field, including topics such as the impact of climate change, sustainable initiatives, inventory management activities and the dynamics of specific supply chain systems. It also discusses the use of underutilized crops, optimization techniques, forecasting methods, circular production and the role of open innovation in the food supply chain.

Overall, the book aims to contribute to the knowledge on supply chain optimization and also provide insights and recommendations for enhancing efficiency and sustainability in the agri-food and animal industries.

Mayssa Koubaa is a postdoctoral researcher at OLID Research Laboratory at the Higher Institute of Industrial Management (University of Sfax, Tunisia).

Mohamed Haykal Ammar is an assistant professor at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and a member of the OLID Research Laboratory.

Diala Dhouib is a full professor in Quantitative Methods at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and Head of the OLID Research Laboratory.

Sirine Mnejja is a doctor in Computer Systems Engineering. She is currently working as an assistant in the Department of Computer Science at the Higher Institute of Computer Science and Multimedia (University of Sfax, Tunisia).