Decision Making for Logistics and Transport Systems

Transport and logistics systems are pivotal to economic health and societal well-being but face challenges from sustainability, economic efficiency, and environmental impacts. These systems are complex socio-technical entities where technology intersects with various social aspects policy, organizational structures, and cultural factors and where diverse stakeholders often have conflicting interests.

This course highlights the importance of sophisticated decision-making models that incorporate advanced data analytics and operations research. These models are crucial for understanding and managing the intricate dynamics among stakeholders and system components.

Course Objectives.

By the end of this course, students will:

• Understand and frame transport and logistics challenges as decision-making problems.

• Utilize mathematical modeling to formulate these challenges.

• Validate and apply models to address real-world scenarios, enhanced through detailed case studies.

Course Content:

The curriculum is structured around decision-making at various planning levels, essential for effective transport and logistics management:

• Strategic Planning: Focuses on long-term network design and policy development with an emphasis on sustainability and macro-level efficiency.

• Tactical Decisions: Bridges strategic objectives and operational needs through medium-term planning, including resource allocation and service planning.

• Operational Management: Manages daily operations to ensure efficient, reliable service delivery, focusing on resource deployment and protocol adjustments.

• Real-Time Decisions: Employs quick, responsive decision-making to address immediate changes and unexpected challenges, ensuring system integrity and continuity.