Optimizing Train Discharge in Port Terminals: A Flexible Flow-Shop Scheduling Approach

This paper investigates how multiple vehicles collaborate in the train discharge process at a port terminal, considered as a system of systems (SoS). The objective is to optimize the container discharge sequence to minimize total processing time while respecting operational constraints. The problem is formulated as a flexible flow-shop scheduling problem, and the results, applied to a real-world case, show a reduction in total discharge time compared to that required by the sequence chosen by the terminal. This work lays the foundation for future studies optimizing both train discharge and loading processes at port terminals, potentially providing rail yard operators with an optimal sequence for both operations.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/sose66311.2025.11083839
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Optimizing Train Discharge in Port Terminals: A Flexible Flow-Shop Scheduling Approach

Alessandro Bozzi, Enrico Zero, Simona Sacone, Rexhina Hoxha et al.
Advanced Manufacturing and Logistics Optimization
article

Optimizing Train Discharge in Port Terminals: A Flexible Flow-Shop Scheduling Approach

Alessandro Bozzi, Enrico Zero, Simona Sacone, Rexhina Hoxha, Stefano Cangelosi
article en

Abstract

This paper investigates how multiple vehicles collaborate in the train discharge process at a port terminal, considered as a system of systems (SoS). The objective is to optimize the container discharge sequence to minimize total processing time while respecting operational constraints. The problem is formulated as a flexible flow-shop scheduling problem, and the results, applied to a real-world case, show a reduction in total discharge time compared to that required by the sequence chosen by the terminal. This work lays the foundation for future studies optimizing both train discharge and loading processes at port terminals, potentially providing rail yard operators with an optimal sequence for both operations.

University of Genoa (IT)
Openalex Percentile: Top 71%
Advanced Manufacturing and Logistics Optimization
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