EURO 2024 Copenhagen
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3508. A rolling horizon approach to a two-stage stochastic model for dual cycling under uncertainty in RoRo terminals

Invited abstract in session MA-62: Seaside Planning I, stream OR in Port Operations.

Monday, 8:30-10:00
Room: S12 (building: 101)

Authors (first author is the speaker)

1. LINE REINHARDT
Institute for people and technology, Roskilde universitet
2. Asefe Forghani
Roskilde University
3. Dario Pacino
Department of Management, Technology and Economics, Technical University of Denmark

Abstract

Dual cycling, which executes loading and unloading simultaneously, is acknowledged for reducing handling time at the port, thus enabling slow steaming and GHG reduction. Previous studies on dual cycling mainly focused on container shipping with deterministic cargo arrivals, which are unsuitable for the RoRo (Roll-on/Roll-off) sector’s inherent uncertainties. Our research bridges this gap by proposing a two-stage stochastic model that aims to minimise the total discharging and loading operation time under uncertain cargo arrivals. The model is based on several assumptions: cargo is distinguished as unaccompanied trailers and classified by weight, and it is assumed that the ship’s space is divided into slots for distinct cargo types based on a predetermined weight-based plan; cargo arrivals follow a stochastic pattern, and the ship should wait until all planned cargoes have arrived and are loaded. Loading and unloading follow specific precedence rules reflecting the deck layout and safety requirements, and the number of tugs during the entire operations remains constant. Addressing the computational challenge, we propose a heuristic rolling horizon approach and a scenario reduction framework. As a case study, the proposed model was implemented on a shuttle vessel’s tank deck. The results demonstrated that, compared to the classical discharge-then-load policy, dual cycling achieved an 11.11% turnaround time reduction and a 38% tug utilisation improvement.

Keywords

Status: accepted

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