Impact of RoRo terminal logistics operations on Estimated Time of Arrival of containerized goods

Typ
Examensarbete för masterexamen
Master's Thesis
Program
Maritime management (MPMAR), MSc
Publicerad
2023
Författare
Bolin Lucero, Christopher
Hammond, Hampus
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Supply chain disruptions, such as delayed shipments, can have severe consequences for businesses and customers alike. These disruptions, caused by natural disasters, transportation issues, and problems with suppliers and manufacturers, result in increased costs, reduced customer satisfaction, and reputational damage. This thesis focuses on the importance of accurate prediction of Estimated Time of Arrival (ETA) in containerized shipping of goods in a RoRo Terminal. The thesis explores the benefits and challenges of providing real-time information about arrival and departure times for stakeholders. By identifying strategies to improve communication and transparency in the supply chain, the study aims to minimise the adverse effects of delays on businesses and customers. The research utilises a mixed methods approach, combining qualitative and quantitative methods. A systematic literature review establishes a frame of reference and systematic mapping results in a model for ETA estimation based on terminal operations and structures within a Ro-Ro terminal. Empirical data is collected through a case study, which employs qualitative methods such as semi-structured interviews and direct observations, as well as quantitative methods including collected container discharge data. The study reveals challenges in predicting accurate collection times, including unit prioritisation, cargo location onboard vessels, involvement of multiple actors, and standardisation of cargo handling. However, benefits are identified to include optimised facility utilisation, improved resource allocation, enhanced supply chain planning, and reduced downtime for operations. The introduction of a Truck Appointment System (TAS) is verified as a promising solution to prioritise units for handling and improve collection time accuracy. Additionally, software systems and applications utilising real-time data, such as designated spot assignments and past operational patterns, contribute to more precise ETA predictions. Overall, this project confirms the significance of accurate collection time prediction in enhancing supply chain efficiency and customer satisfaction at Ro-Ro terminals
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Ämne/nyckelord
Ro-Ro Terminal , Containerized Goods , Estimated Time of Arrival (ETA) , Terminal operations , Port Management
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