Overview

As global industries face pressure to reduce their environmental footprint, warehousing undergoes a shift toward sustainability. Innovations in green and energy-efficient warehousing reduce operational costs while aligning logistics with environmental goals. From the integration of renewable energy sources to the adoption of smart energy management systems and sustainable building materials, warehouses become smarter and greener. Advanced automation, LED lighting, and high-efficiency HVAC systems optimize energy usage, while layout redesigns and electric vehicles minimize emissions across the supply chain. These strategies may redefine modern warehousing, making it critical to achieving sustainable logistics and a low-carbon future. Innovations in Green and Energy-Efficient Warehousing explores how businesses can integrate sustainability into their warehousing operations. It delves into the latest innovations, strategies, and best practices in sustainable logistics, offering theoretical frameworks, practical tools, and real-world case studies to address challenges like cost barriers, technological limitations, and regulatory compliance. This book covers topics such as cost analysis, inventory management, and predictive modeling, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

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Dr. Mohamed Amine Frikha is an Assistant Professor at King Faisal University. He holds a Ph.D. from the University of Sfax, Tunisia, specializing in logistics, transport economics, and sustainability. His research focuses on topics such as goods clearance, international transactions, and improving the efficiency of logistics systems. With expertise in the economic and environmental aspects of transportation, Dr. Frikha aims to contribute to the development of sustainable global supply chains. His work combines academic insights with real-world applications to enhance the efficiency and sustainability of international trade and logistics. Dr. Mohieddine Rahmouni is an Associate Professor of Economics and Quantitative Methods at King Faisal University and the University of Tunis (Higher School of Economic and Commercial Sciences of Tunis). He earned his Ph.D. through a joint program between the University of Montesquieu Bordeaux-IV and the University of Tunis. Dr. Rahmouni's research spans the economics and econometrics of innovation, applied econometrics, productivity, technology, and industrial dynamics, with a focus on the intersections of these fields in driving economic development and industrial transformation. Ben Othman Soufiene is an Assistant Professor of computer science at Applied College, King Faisal University, Saudi Arabia from 2025 and at the University of Gabes, Tunisia from 2016 to 2023. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on “Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. My research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data. Dr. Ben Othman has published more than 120 papers at reputed international journals, conferences, and book chapters. He is an Editorial Board Member in the different Journals and Conferences. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen of international conferences.

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