Agent-based Truck Appointment System for Containers Pick-up Time Negotiation

Ramadhan, Fakhri Ihsan; Wasesa, Meditya

doi:10.22146/ijccs.51274

Open access Journal SINTA 2

Agent-based Truck Appointment System for Containers Pick-up Time Negotiation

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 14 No. 1 (2020) · pp. 81–90

DOI: 10.22146/ijccs.51274
ISSN: 2460-7258, 1978-1520
Published: 2020-01-31
Publisher: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language: eng
License: creativecommons.org/licenses/by-sa/4.0

Abstract

Congestion in the seaports area is a common issue in many parts of the world. Fluctuating truck arrival has been identified as one of the significant determinants of congestion. In response, a truck appointment system (TAS) is introduced to manage truck arrival, particularly at peak times. In the existing TAS mechanism, the scheduling decision is centralized and disregards the concerns of trucking companies. Moreover, TAS may complicate the business operation of trucking companies that already have a constrained truck schedule. This study proposes a decentralized negotiation mechanism in TAS that allows trucking companies to adjust arrival times by utilizing the waiting time estimation provided by the terminal operator. We develop an agent-based model of a TAS in the container terminal pick-up procedure. The simulation results indicate that compared to the existing TAS mechanism, the negotiation TAS mechanism generates a shorter average truck turnaround time regardless of truck arrival rates. In terms of average net time cost, the negotiation TAS mechanism provides better value under high truck arrival rate conditions. The incentive for trucking companies to participate in the negotiations is even higher at peak times.

Keywords

Collaboration network of the authors

11 authors · 20 co-authorship links

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Bandung Institute of Technology
Affiliation unknown

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Co-author	Organisation	Joint articles
Mochammad Agus Afrianto	Bandung Institute of Technology	1
Radit Rahmadhan	Bandung Institute of Technology	1
Siti Anisah	Bandung Institute of Technology	1
Upekkha Lau	Affiliation unknown	1
FX Nugroho Soelami	Affiliation unknown	1
Irsyad Nashirul Haq	Affiliation unknown	1
Justin Pradipta	Affiliation unknown	1
Edi Leksono	Affiliation unknown	1
Putu Handre Kertha Utama	Affiliation unknown	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai, first harvested 26 Oct 2026, last seen 8 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">Agent-based Truck Appointment System  for Containers Pick-up Time Negotiation</dc:title>
	<dc:creator>Ramadhan, Fakhri Ihsan</dc:creator>
	<dc:creator>Wasesa, Meditya</dc:creator>
	<dc:subject xml:lang="en-US">Operations Management</dc:subject>
	<dc:subject xml:lang="en-US">Truck Appointment System; Negotiation; Agent-based Modelling; Simulation; Container Terminal Operation</dc:subject>
	<dc:description xml:lang="en-US">Congestion in the seaports area is a common issue in many parts of the world. Fluctuating truck arrival has been identified as one of the significant determinants of congestion. In response, a truck appointment system (TAS) is introduced to manage truck arrival, particularly at peak times. In the existing TAS mechanism, the scheduling decision is centralized and disregards the concerns of trucking companies. Moreover, TAS may complicate the business operation of trucking companies that already have a constrained truck schedule. This study proposes a decentralized negotiation mechanism in TAS that allows trucking companies to adjust arrival times by utilizing the waiting time estimation provided by the terminal operator. We develop an agent-based model of a TAS in the container terminal pick-up procedure. The simulation results indicate that compared to the existing TAS mechanism, the negotiation TAS mechanism generates a shorter average truck turnaround time regardless of truck arrival rates. In terms of average net time cost, the negotiation TAS mechanism provides better value under high truck arrival rate conditions. The incentive for trucking companies to participate in the negotiations is even higher at peak times.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2020-01-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/51274</dc:identifier>
	<dc:identifier>10.22146/ijccs.51274</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 14, No 1 (2020): January; 81-90</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/51274/26963</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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