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.
1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi–AHP Methodology and MOORA–MULTIMOORA Approaches for an Algerian Case Study, Mohamed Amine Cherier and Amina Bendjelloul.
2. The Effects and Challenges of Climate Change on the Food–Energy–Water Nexus – Poland as a Case Study, Piotr F. Borowski, Erick R. Bandala, Aleksandra Lubanska and Eric Stein.
3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India, Chandra Prakash Garg, Munnaluru Sai Venkata Yeswanth and Archana Sharma.
4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain, Chandra Prakash Garg, Munnaluru Sai Venkata Yeswanth and Archana Sharma.
5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan, Muhammad Bilal Ahsan, Abd-Ur-Rehman, Zohaib Jabbar and Hafiz Zahid Mahmood.
6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm, Zainab Alaa Hameed and Taicir Moalla Loukil.
7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India, Deepanshu Nayak, Millie Pant and Kailash Chandra Lachhwani.
8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework, Mohamed Amir Keskes, Alaeddine Zouari, Rémy Houssin, Diala Dhouib and Jean Renaud.
9. Open Innovation as a Solution in the Food Supply Chain, Mohamed Amir Keskes, Alaeddine Zouari, Rémy Houssin, Diala Dhouib and Jean Renaud.
10. The Agri-Food Supply Chain and Logistics Problems Optimization, Omid Boyer, Nadia Saeidi, Farshad Kaveh, Negin Berjis and Shila Sharifzadeh.
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).