Simulating Port Expansion Plans using Agent based Modelling

Wibowo, Ramadhianto Agung; Hidayatno, Akhmad; Moeis, Armand Omar; Baru, Kampus; Depok, UI

doi:10.14716/ijtech.v6i5.1900

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…The Tanjung Priok port cluster, the selected case in this study, is located in North Jakarta. The port is jointly operated by the state-owned company PT Pelindo II, Hutchison Port Holdings, Port of Singapore Authority, NYK Line, Mitsui & Co., and several mediumsized local terminal operators in several separate concessions (Wibowo et al, 2015). The port handles more than 50% of Indonesia's trans-shipment cargo traffic.…”

Section: Methodsmentioning

confidence: 99%

Sustainability Assessment of the Tanjung Priok Port Cluster

Moeis¹,

Desriani²,

Destyanto³

et al. 2020

IJTech

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A seaport attracts firms to it; such firms are often complementary and find ways to interact with one another, forming port clusters. The growth and decline of these clusters largely depend on government policies. Large port clusters have more economic activity but are also characterized by negative externalities, such as air pollution. This study investigates the dynamics and sustainability of the Tanjung Priok port cluster. System dynamics are used to examine the issue, and port cluster sustainability is assessed by modeling the dynamics of the system over a 20-year timespan. The growth of a port cluster has been found to positively influence the regional economy and the level of employment while also damaging the environment. This study investigates further the impact of an alternative port cluster development program (namely a free trade policy) and shore power system (SPS) program policies on the sustainability of a port cluster. The model indicates that when a free trade policy and an SPS program are implemented in tandem to maximize the economy and reduce environmental damage, they provide additional benefits.

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Section: Methodsmentioning

confidence: 99%

Sustainability Assessment of the Tanjung Priok Port Cluster

Moeis¹,

Desriani²,

Destyanto³

et al. 2020

IJTech

Self Cite

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“…Butterfly routes ensure one port will be passed twice (Ronen [8], Meijer [9]). This paper reflects the on going research conducted in our laboratory/research group regarding Maritime Logistics topics (Wibowo et al [10], Moeis and Goputra [11]), particularly Indonesian Liner Network Design (Rahmawan et al [12], Komarudin et al [13,14]). …”

Section: Introductionmentioning

confidence: 94%

Designing Indonesian Liner Shipping Network

Moeis

Zagloel

Hidayatno

et al. 2017

jti

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Abstract:As the largest archipelago nation in the world, Indonesia's logistics system has not shown excellence according to the parameters of logistics performance index and based on logistics costs percentages from overall GDP. This is due to the imbalances of trading on the western and eastern regions in Indonesia, which impacts the transportation systems costs to and from the eastern regions. Therefore, it is imperative to improve the competitiveness of Indonesian maritime logistics through maritime logistics network design. This research will focus on three levels of decision making in logistics network design, which include type of ships in the strategic level, shipping routes in the tactical level, and container allocation in the operational level with implementing butterfly routes in Indonesia's logistics networking problems. Furthermore, this research will analyze the impact of Pendulum Nusantara and Sea Toll routes against the company profits and percentages of containers shipped. This research will also foresee how demand uncertainties and multi-period planning should affect decision making in designing the Indonesian Liner Shipping Network.

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“…Therefore, we use a combination of Discrete Event Simulation (DES) and Agent-Based Simulation (ABS), which are both substantiated to be effective and amply used in simulation studies of LCs, port areas, and AGVs. For a comprehensive literature review on port simulation see Dragović et al (2017); for examples of ABS at container terminals and airports see Mes and Douma (2016) and Wibowo et al (2015) respectively; for examples on ABS for AGVs see Marinica et al (2012), Garro et al (2015). More specifically, we use DES for all processes at the Smart Yard, and use ABS for conflict handling by AGVs and the assignment of AGVs to transportation demand of LCs.…”

Section: Brunetti Mes and Van Heuvelnmentioning

confidence: 99%

A General Simulation Framework for Smart Yards

Brunetti

Mes

Heuveln

2020

2020 Winter Simulation Conference (WSC)

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This paper presents a simulation framework for the logistics operations at Smart Yards. A Smart Yard is a digital and physical system enabling the collaboration of various companies at a logistics hub, e.g., seaport, airport or hinterland distribution center, and characterized by a decoupling point, automated vehicles for internal handling of cargo, and data sharing technologies. The framework is a high-level conceptual model for a hybrid Discrete Event and Agent-Based Simulation, comprising inputs, outputs, assumptions, flowcharts, and agents representing the complex interrelation of stakeholders and shared autonomous vehicles. We illustrate the concept of Smart Yard using three case studies and apply our simulation framework to one of these cases by analyzing the use of a Smart Yard at Amsterdam Airport Schiphol.

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Simulating Port Expansion Plans using Agent based Modelling

Cited by 8 publications

References 3 publications

Sustainability Assessment of the Tanjung Priok Port Cluster

Sustainability Assessment of the Tanjung Priok Port Cluster

Designing Indonesian Liner Shipping Network

A General Simulation Framework for Smart Yards

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