Impact of overbooking reservation mechanism on container terminal's operational performance and greenhouse gas emissions
Impact of overbooking reservation mechanism on container terminal's operational performance and greenhouse gas emissions
Truck appointment systems facilitate coordination between container terminals and drayage trucks in container pick-up operation reservation. However, in many cases, trucks with a reservation do not arrive at the scheduled appointment. As the number of no-shows increases, the container terminal's productivity will plummet, and drayage trucks that failed to get reservations will lose their opportunity to get service. This research proposes an overbooking reservation mechanism (ORM) to alleviate the negative impact of these no-shows. This research scrutinizes the detailed process mapping of the existing reservation mechanism, proposes an ORM, and conducts agent-based simulations to evaluate the ORM's performance against the regular and go-show reservation mechanisms at different levels of no-shows and working occupancies. The application of an ORM can improve productivity and service levels while minimizing such negative externalities as queue length, overtime, and greenhouse gas emissions. High overtime intensities only appear when the container terminal's workload is exceptionally high, at 200% of maximum capacity, with a low level of no-shows. Even in exceptionally high demand conditions, the drayage trucks wait only up to 16 min before receiving service.
Agent-based simulation, Container terminals, Greenhouse gas emissions, Hinterland operation, Overbooking reservation mechanism, Truck appointment system
140-148
Wasesa, Meditya
2ef6d001-02a5-4f90-997b-2178ca693d39
Ramadhan, Fakhri I.
9cd13c76-634e-43f9-b71b-9a934e0916c4
Nita, Arfenia
a156cd90-ab6e-49dc-bc68-47f1a80778c5
Belgiawan, Prawira F.
043f4c6c-582f-4696-90ef-6da4628fa0fa
Mayangsari, Lidia
3630b0ea-f59f-4fae-8bdf-653380dec45d
1 June 2021
Wasesa, Meditya
2ef6d001-02a5-4f90-997b-2178ca693d39
Ramadhan, Fakhri I.
9cd13c76-634e-43f9-b71b-9a934e0916c4
Nita, Arfenia
a156cd90-ab6e-49dc-bc68-47f1a80778c5
Belgiawan, Prawira F.
043f4c6c-582f-4696-90ef-6da4628fa0fa
Mayangsari, Lidia
3630b0ea-f59f-4fae-8bdf-653380dec45d
Wasesa, Meditya, Ramadhan, Fakhri I., Nita, Arfenia, Belgiawan, Prawira F. and Mayangsari, Lidia
(2021)
Impact of overbooking reservation mechanism on container terminal's operational performance and greenhouse gas emissions.
Asian Journal of Shipping and Logistics, 37 (2), .
(doi:10.1016/j.ajsl.2021.01.002).
Abstract
Truck appointment systems facilitate coordination between container terminals and drayage trucks in container pick-up operation reservation. However, in many cases, trucks with a reservation do not arrive at the scheduled appointment. As the number of no-shows increases, the container terminal's productivity will plummet, and drayage trucks that failed to get reservations will lose their opportunity to get service. This research proposes an overbooking reservation mechanism (ORM) to alleviate the negative impact of these no-shows. This research scrutinizes the detailed process mapping of the existing reservation mechanism, proposes an ORM, and conducts agent-based simulations to evaluate the ORM's performance against the regular and go-show reservation mechanisms at different levels of no-shows and working occupancies. The application of an ORM can improve productivity and service levels while minimizing such negative externalities as queue length, overtime, and greenhouse gas emissions. High overtime intensities only appear when the container terminal's workload is exceptionally high, at 200% of maximum capacity, with a low level of no-shows. Even in exceptionally high demand conditions, the drayage trucks wait only up to 16 min before receiving service.
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More information
Accepted/In Press date: 10 January 2021
Published date: 1 June 2021
Additional Information:
Funding Information:
This research is funded by an internal research grant (grant ID: 057/I1.C12/SK/PP/2019) provided by the School of Business and Management, Institut Teknologi Bandung, Indonesia.
Publisher Copyright:
© 2021 The Authors
Keywords:
Agent-based simulation, Container terminals, Greenhouse gas emissions, Hinterland operation, Overbooking reservation mechanism, Truck appointment system
Identifiers
Local EPrints ID: 475379
URI: http://eprints.soton.ac.uk/id/eprint/475379
ISSN: 2092-5212
PURE UUID: 4d68e27c-a518-4a09-b3e9-07842c1f2635
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Date deposited: 16 Mar 2023 18:01
Last modified: 18 Mar 2024 03:54
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Contributors
Author:
Meditya Wasesa
Author:
Fakhri I. Ramadhan
Author:
Arfenia Nita
Author:
Prawira F. Belgiawan
Author:
Lidia Mayangsari
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