Work

Stochastic optimization model for port infrastructure planning considering uncertainties in wave and vessel arrival times

Year: 2025

Type: article

Abstract: This paper proposes a stochastic optimization model that considers not only the uncertainties in wave and vessel arrival times but also sedimentation and tidal occurrence. Those factors impact the vessel’s operational cost, influencing the seaport’s competitiveness. Therefore, seaport operators need to decide the reference vessel size, dredging maintenance actions, and infrastructure required to ensure the smooth operation of the vessel. The optimization model is solved by invoking a variant of the genetic algorithm. Case studies based on actual seaports in Indonesia are conducted to illustrate the model’s application and results clearly. It was found that uncertainty of wave and vessel arrival are responsible for deviations in expected operational costs, while increasing infrastructure costs minimizes these deviations and reduces the expected operational costs.

Source: International Journal of Transportation Science and Technology

DOI: 10.1016/j.ijtst.2025.03.004

Authors: Rajin Sihombing, Ricky Lukman Tawekal, Muslim Muin, Febri Zukhruf

Institution: Bandung Institute of Technology

Language: English

Topic: Maritime Ports and Logistics

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Lembaga Pengelola Dana Pendidikan