AI/ML Applications in Port Management

Course Content

20 Hrs (3 Credits)

India’s ambitious journey toward becoming a $5 trillion economy heavily relies on enhancing export capabilities, where ports play a vital role, as 80% of global trade is conducted by sea. Effective port management is crucial to streamline this process. This Port Management course provides a comprehensive understanding of port operations and addresses multi-faceted challenges—technological, commercial, and environmental. Through data-driven strategies, this course equips future leaders to improve efficiency and competitiveness in port management, ensuring India’s logistics infrastructure aligns with global standards.

Frontline Executives and Mid-Level Managers interested in or working in port management.

Shipping Industry, Logistics Industry, Fleet forward industry.
  • To understand the key activities related to port operations.
  • To provide the knowledge and expertise to use data-driven port operations models for generating values for the customers.
  • To understand the systematic implementation and sustainable execution of port operations
Lectures, Case Studies, Modeling, Hands-on Sessions and Discussions in the class
  1. To demonstrate how different operations are to be performed for smooth and efficient port management.
  2. To apply analytical tools and emerging technologies for effective decision-making and optimum utilization of available resources.
  3. To enhance efficiency of port activities for smooth movement of goods to and from through port in an efficient and sustainable manner.
Prof. Priyanka Verma, Prof. Debabrata Das and Prof. Jasashwi Mandal.
 
  • Maria G. Burns. (2018). Port Management and Operations CRC Press.
  • Theo Notteboom, Athanasios Pallis, Jean. CRC Press. Paul Rodrigue. (2022). Port Economics Management and Policy. Routledge, London.
    https://doi.org/10.4324/9780429318184
Module (Duration) Session No. Topics Readings/ Cases/ Videos
Module1: Introduction to Port Management (6 hrs) 1-4

Introduction to Port Management

  • Understanding basics of port management
  • Role of ports in international trade and logistics
  • Types of ports and port ownership models
  • Key stakeholders and their roles
  • Port organizational structures and operations

Port Operations and Logistics

  • Types of cargo and Terminal operations: cargo handling, storage, and transit
  • Container terminal operations and handling equipment
  • Yard management and Truck operations
  • Port Management and Operations by Maria G. Burns. (2018). CRC Press.
  • Chen, R., Meng, Q., & Jia, P. (2022). Container port drayage operations and management: Past and future. Transportation Research Part E: Logistics and Transportation Review, 159, 102633.
Module 2: Managing Port Operations through data-driven models (19.5 hrs) 5-17

Predictive and Prescriptive analytics for

  • Vessel arrival and departure planning
  • potential delays due to weather or port congestion.
  • Container loading/unloading
  • Cargo handling
  • Berth allocation based on vessel priority, size, and cargo type.
  • Balance berth utilization and minimize vessel waiting times.
  • Predictive maintenance for Cranes
  • Yard management: container storage, handling, and transit processes
  • Truck scheduling
  • Congestion management
  • Predicting delay based on historical and real-time data.
  • Resources allocation and utilization
  • Port Performance Measurement
  • Related Case Studies
  • Hands-on Sessions
  • Bakshi, N., Flynn, S. E., & Gans, N. (2011). Estimating the operational impact of container inspections at international ports. Management Science, 57(1), 120.
  • Besbes, O., & Savin, S. (2009). Going bunkers: The joint route selection and refueling problem. Manufacturing & Service Operations Management, 11(4), 694-711.
  • Gifford, T., & Gremley, R. (2019). Chassis leasing and selection policy for port operations. INFORMS Journal on Applied Analytics, 49(4), 239248.
  • Saurí, S., & Robusté, F. (2012). Promoting incentives: performance improvement in container port terminals. Transportation science, 46(2), 233-246.
Module 3: Future Emerging Trends in Port (1.5 Hours) 18
  • Digitalization and automation in ports: smart ports, IoT, AI applications
  • Future Trends in AI and Port Operations
  • Sustainability in port management: environmental impacts and green port initiatives
  • Li, K. X., Li, M., Zhu, Y., Yuen, K. F., Tong, H., & Zhou, H. (2023). Smart port: A bibliometric review and future research directions. Transportation Research Part E: Logistics and Transportation Review, 174, 103098.
  • Triska, Y., Frazzon, E. M., Silva, V. M. D., & Heilig, L. (2024). Smart port terminals: Conceptual framework, maturity modeling and research agenda. Maritime Policy & Management, 51(2), 259-282.
Module 4: Assessment (3 Hours) 19-20
  • Group Projects
  • Hands-on project for real-world port management challenges, such as optimizing truck scheduling, predictive crane maintenance, or green initiatives for sustainable ports.
  • Course recap, Q&A, feedback on group projects and learning outcomes.
  • Participant Presentations: Case analysis and group presentations