Journal Articles The Journal of Modern Project Management Year : 2022

A Port Digital Twin Model for Operational Uncertainty Management

Abstract

Lacking information challenges the management of portoperational uncertainty in estimating the situation to support a decision onreactivity planning. This paper applies Digital Twin (DT) to model a replicatedvirtual port operation from a real-world port of Thailand. The proposed DTmodel offers a tool to accelerate generating data of the port operation withconfigurable uncertainty. The model is validated by using generated datafrom the DT model compared with the real-world data. The result shows thatthe DT model produces the same behaviour as the real-world system. Anoutcome of this paper is a DT model eligible to generate port operation datafor later application with machine learning to predict the port capacity underuncertainty to support reactivity planning.
Fichier principal
Vignette du fichier
Paper-JMPM.pdf (897.95 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03579344 , version 1 (14-01-2025)

Identifiers

  • HAL Id : hal-03579344 , version 1

Cite

Siraprapa Wattanakul, Sébastien Henry, Reeveerakul Napaporn, Yacine Ouzrout. A Port Digital Twin Model for Operational Uncertainty Management. The Journal of Modern Project Management, 2022, 9 (3). ⟨hal-03579344⟩
118 View
0 Download

Share

More