Modelling and optimization of container terminal capacity
Само за регистроване кориснике
2017
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Paper presents one of possible approaches to design and capacity optimisation of port terminals for container unloading. Container terminal is modelled using single server queuing model with bulk arrival and limited queue size. Terminal work is analyzed in non-stationary and stationary working regime on the basis of change of technological function parameters (TFP) in dependence of yearly turnover of unloaded containers. Finally, using optimization model, yearly turnover of unloaded containers which existing terminal configuration can unload at optimal way, is determined.
Кључне речи:
Modeling / Unloading / Terminal / Container / Queuing theoryИзвор:
6th ICMEN - International Conference on Manufacturing ENgineering, 2017, 99-110Издавач:
- Aristoteles University Thessaloniki, Mechanical engineering Department, Laboratory for Machine Tools & Manufacturing Engineering
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Glišić, Dušan AU - Bugarić, Uglješa AU - Genić, Vojislav AU - Petrović, Dušan AU - Petrović, Zoran PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5889 AB - Paper presents one of possible approaches to design and capacity optimisation of port terminals for container unloading. Container terminal is modelled using single server queuing model with bulk arrival and limited queue size. Terminal work is analyzed in non-stationary and stationary working regime on the basis of change of technological function parameters (TFP) in dependence of yearly turnover of unloaded containers. Finally, using optimization model, yearly turnover of unloaded containers which existing terminal configuration can unload at optimal way, is determined. PB - Aristoteles University Thessaloniki, Mechanical engineering Department, Laboratory for Machine Tools & Manufacturing Engineering C3 - 6th ICMEN - International Conference on Manufacturing ENgineering T1 - Modelling and optimization of container terminal capacity EP - 110 SP - 99 UR - https://hdl.handle.net/21.15107/rcub_machinery_5889 ER -
@conference{ author = "Glišić, Dušan and Bugarić, Uglješa and Genić, Vojislav and Petrović, Dušan and Petrović, Zoran", year = "2017", abstract = "Paper presents one of possible approaches to design and capacity optimisation of port terminals for container unloading. Container terminal is modelled using single server queuing model with bulk arrival and limited queue size. Terminal work is analyzed in non-stationary and stationary working regime on the basis of change of technological function parameters (TFP) in dependence of yearly turnover of unloaded containers. Finally, using optimization model, yearly turnover of unloaded containers which existing terminal configuration can unload at optimal way, is determined.", publisher = "Aristoteles University Thessaloniki, Mechanical engineering Department, Laboratory for Machine Tools & Manufacturing Engineering", journal = "6th ICMEN - International Conference on Manufacturing ENgineering", title = "Modelling and optimization of container terminal capacity", pages = "110-99", url = "https://hdl.handle.net/21.15107/rcub_machinery_5889" }
Glišić, D., Bugarić, U., Genić, V., Petrović, D.,& Petrović, Z.. (2017). Modelling and optimization of container terminal capacity. in 6th ICMEN - International Conference on Manufacturing ENgineering Aristoteles University Thessaloniki, Mechanical engineering Department, Laboratory for Machine Tools & Manufacturing Engineering., 99-110. https://hdl.handle.net/21.15107/rcub_machinery_5889
Glišić D, Bugarić U, Genić V, Petrović D, Petrović Z. Modelling and optimization of container terminal capacity. in 6th ICMEN - International Conference on Manufacturing ENgineering. 2017;:99-110. https://hdl.handle.net/21.15107/rcub_machinery_5889 .
Glišić, Dušan, Bugarić, Uglješa, Genić, Vojislav, Petrović, Dušan, Petrović, Zoran, "Modelling and optimization of container terminal capacity" in 6th ICMEN - International Conference on Manufacturing ENgineering (2017):99-110, https://hdl.handle.net/21.15107/rcub_machinery_5889 .