Introduction to modeling and optimization methods for realistic, real-world-scale problems in sustainable and green supply chain and logistics, and development of practical experience in solving them.

• Understanding the National Climate Law and carbon footprint assessment.
• Mathematical programming modeling and the Assignment Problem with economic and environmental criteria.
• Short-term refinery scheduling with emphasis on efficient resource utilization and reduction of environmental impacts.
• Cross-docking warehouse scheduling for improving efficiency and reducing the transportation and energy footprint.
• Modeling of VRP problems, such as capacitated VRP, VRP with time windows, green VRP, and routing problems with emissions constraints.
• Location problems in sustainable logistics applications, such as the location of recycling or waste bins, rescue helicopters, journey planning, and bike-sharing network design.
• CPLEX seminars using C++.

• Law 4936/2022 (Government Gazette A’ 105/27 May 2022). National Climate Law – Transition to Climate Neutrality and Adaptation to Climate Change, Urgent Provisions for Addressing the Energy Crisis and Environmental Protection.
• Grant, D. B., Trautrims, A., Wong, C. Y. Sustainable Logistics and Supply Chain Management: Principles and Practices for Sustainable Operations and Management, 3/E. Kogan Page, 2022.
• McKinnon, A., Browne, M., Piecyk, M., Whiteing, A. (Eds.). Green Logistics: Improving the Environmental Sustainability of Logistics, 3/E. Kogan Page, 2015.
• Pardalos, Panos M., Du, Ding-Zhu, Graham, “Handbook of Combinatorial Optimization”, Springer, 2013.
• G.S.R. Murthy “Applications of Operations Research and Management Science: Case Studies” Springer, 2015.

Slides, website, C++ and CPLEX code.

Greek or English.

Lectures and Assignments.

• Assignment preparation (modeling and solving a real-world problem) and presentation on the day of the exams.

190.