EURO 2024 Copenhagen
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3540. A Simulation-Based Optimization Framework for Adaptive Disruption Management Strategies in Synchromodal Transport

Invited abstract in session TD-62: Sustainable freight transportation, stream OR in Port Operations.

Tuesday, 14:30-16:00
Room: S12 (building: 101)

Authors (first author is the speaker)

1. Mahnam Saeednia
Tu delft
2. Saiedeh Razavi
McMaster University
3. Bilge Atasoy
Maritime and Transport Technology, Delft University of Technology
4. Siyavash Filom
McMaster University
5. Muhammad Satrya Dewantara
TU Delft

Abstract

Disruptions that impact transport operations are an inevitable reality that pose significant challenges. These disturbances, escalating in both frequency and impact, have far-reaching implications on seamless freight transport operations. From unexpected weather conditions to unplanned maintenance of the transport network, each disruption brings with it a ripple effect that can drastically alter the planned movement of freight. This, not only negatively impacts the immediate transport operations but also has profound implications on the broader supply chain landscape, necessitating innovative solutions to ensure resilience and reliability. This paper proposes a simulation-based optimisation framework for adaptive disruption management strategies. It incorporates real-time events dynamically to facilitate selection of modes, routes, and handling points. It leverages an event-based model to capture the dynamics of the system at the event of a disruption. The stochastic optimisation model lying at its core generates disruption-aware reactive solutions to minimizes their potential impact. These solutions are informed by optimal disruption management policies such as rerouting, transshipment, or holding, thus ensuring enhanced operational resilience and efficacy in response to disruptions. This adaptive approach to disruption management facilitates more resilient, robust, efficient, and sustainable supply chain operations in the face of increasing uncertainties and disruptions.

Keywords

Status: accepted

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