Modelling the Container Yard as an Operational System in a Port: The Case Studies
Апстракт
The paper presents the two Case Studies of the modelling process at the
Container Yard (CY) as an Operational System based on a particular
batch arrival multi-server M^X / M / c queue described and analysed in
[4], where the batch size ( X ) has the shifted-Poisson and Poisson-like
distributions. Using a more general formula for such queue models, here
it is deduced the expressions for the specific cost ratio involving the state
probabilities, the utilization factor, the mean and the variance of the group
size. Applying this expression, the various results are presented when the
number of yard cranes at container yard in port is 1, 2 or 3.
Кључне речи:
Container yard / Operational system / M^X / M / c queue / Specific cost ratio / The Case StudiesИзвор:
Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022, 2022, 49-52Издавач:
- SaTCIP Publisher Ltd
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Dragović, Branislav AU - Meštrović, Romeo AU - Zrnić, Nenad AU - Dragović, Andro AU - Petranović, Mauro PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5446 AB - The paper presents the two Case Studies of the modelling process at the Container Yard (CY) as an Operational System based on a particular batch arrival multi-server M^X / M / c queue described and analysed in [4], where the batch size ( X ) has the shifted-Poisson and Poisson-like distributions. Using a more general formula for such queue models, here it is deduced the expressions for the specific cost ratio involving the state probabilities, the utilization factor, the mean and the variance of the group size. Applying this expression, the various results are presented when the number of yard cranes at container yard in port is 1, 2 or 3. PB - SaTCIP Publisher Ltd C3 - Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022 T1 - Modelling the Container Yard as an Operational System in a Port: The Case Studies EP - 52 SP - 49 UR - https://hdl.handle.net/21.15107/rcub_machinery_5446 ER -
@conference{ author = "Dragović, Branislav and Meštrović, Romeo and Zrnić, Nenad and Dragović, Andro and Petranović, Mauro", year = "2022", abstract = "The paper presents the two Case Studies of the modelling process at the Container Yard (CY) as an Operational System based on a particular batch arrival multi-server M^X / M / c queue described and analysed in [4], where the batch size ( X ) has the shifted-Poisson and Poisson-like distributions. Using a more general formula for such queue models, here it is deduced the expressions for the specific cost ratio involving the state probabilities, the utilization factor, the mean and the variance of the group size. Applying this expression, the various results are presented when the number of yard cranes at container yard in port is 1, 2 or 3.", publisher = "SaTCIP Publisher Ltd", journal = "Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022", title = "Modelling the Container Yard as an Operational System in a Port: The Case Studies", pages = "52-49", url = "https://hdl.handle.net/21.15107/rcub_machinery_5446" }
Dragović, B., Meštrović, R., Zrnić, N., Dragović, A.,& Petranović, M.. (2022). Modelling the Container Yard as an Operational System in a Port: The Case Studies. in Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022 SaTCIP Publisher Ltd., 49-52. https://hdl.handle.net/21.15107/rcub_machinery_5446
Dragović B, Meštrović R, Zrnić N, Dragović A, Petranović M. Modelling the Container Yard as an Operational System in a Port: The Case Studies. in Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022. 2022;:49-52. https://hdl.handle.net/21.15107/rcub_machinery_5446 .
Dragović, Branislav, Meštrović, Romeo, Zrnić, Nenad, Dragović, Andro, Petranović, Mauro, "Modelling the Container Yard as an Operational System in a Port: The Case Studies" in Proceedings of the Maritime and Port Logistics of the XXIV International Conference MHCL 2022 (2022):49-52, https://hdl.handle.net/21.15107/rcub_machinery_5446 .