Dry Bulk Terminal Handling Performance

Measuring Unloading Performance Using Open Data

Master Thesis (2025)
Author(s)

G.A. de Leeuw (TU Delft - Mechanical Engineering)

Contributor(s)

M.B. Duinkerken – Mentor (TU Delft - Transport Engineering and Logistics)

DL Schott – Graduation committee member (TU Delft - Transport Engineering and Logistics)

Reinier Tans – Mentor (Haskoning)

Faculty
Mechanical Engineering
More Info
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Publication Year
2025
Language
English
Graduation Date
30-09-2025
Awarding Institution
Delft University of Technology
Programme
['Mechanical Engineering']
Sponsors
Haskoning
Faculty
Mechanical Engineering
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Abstract

This study demonstrates that unloading performance at dry bulk terminals can be effectively assessed using open data sources such as AIS and aerial imagery. By structuring terminal operations into measurable performance indicators and applying the Overall Equipment Effectiveness (OEE) framework, we show that productivity, utilization, and occupancy can be quantified and benchmarked across terminals. The method is validated using data from two dry bulk terminals, revealing consistent patterns and highlighting operational differences. This approach enables scalable, low-cost performance analysis without requiring direct access to proprietary terminal data.

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