Stochastic model to estimate the waiting time for container vessel turnaround times

• Autorzy: Elentably A. , Fisher K. , Holger S. , Alghanmi A. , Alhrbi S.

Identyfikatory

DOI

10.12716/1001.16.03.14

• Języki publikacji: EN

Abstrakty

EN

By developing possible solutions for Saudi ports to limit the increase in damage to the marine ecosystem, the random system for estimating the waiting time of ships in Saudi ports has been developed as a model to guide the application of the multiple benefits to the beneficiaries such as ship owners, shipping companies and port authorities so that it is applied to create multiple economic and environmental savings. An imperative optimization model for solving container slot allocation problems for time-sensitive commodities under the dynamics of port congestion pricing. The proposed new pricing mechanism has proven to be effective when compared to a generic slot allocation model that does not take into account shipping time limits and port congestion, with results showing that the proposed pricing scheme can significantly improve ship companies' revenues and improve customer satiation. In terms of reducing carbon emissions from the ship's stay for a longer period at the docks.

Słowa kluczowe

EN

container vessel; waiting time; stochastic model; vessel turnaround; vessel turnaround time; Saudi marine ports; container slot; container shipping

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2022
• Tom: Vol. 16 No. 3
• Strony: 515--519
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Elentably A.

• King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

autor

Fisher K.

• King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

autor

Holger S.

• King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

autor

Alghanmi A.

• King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

autor

Alhrbi S.

• King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

Bibliografia

• [1] AV Goodchild, CF Daganzo - Transportation science, 2006 - pubsonline.informs.org.
• [2] Carlos F. Daganzo,2006, Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations.
• [3] Nishant Mishra, (2017),A stochastic model for interterminal container transportation. Transportation Science.
• [4] Sheikholeslami, Abdorreza, (2013), Practical solutions for reducing container ships' waiting times at ports using simulation model.
• [5] Evrim Ursavas,(2015), Priority control of berth allocation problem in container terminals.
• [6] Qi Yao, Lu Xu, Qin Zhang, "Container Slot Allocation for Time-Sensitive Cargo in Maritime Transportation: A One-Phase Model with consideration of Port Congestion", Discrete Dynamics in Nature and Society, vol. 2021, Article ID 6622291, 11 pages, 2021.
• [7] The importance of information technology in port terminal operations) M. Kia, E. Shayan, F. Ghotb,Published . 2000, Business International Journal of Physical Distribution & Logistics Management.
• [8] Jonathan T. Ting , 2018, (A robust ex vivo experimental platform for molecular-genetic dissection of adult human neocortical cell types and circuits, Scientific Reports volume 8.
• [9] HM Amos, DJ Jacob, CD Holmes ,2012 Gas-particle partitioning of atmospheric Hg (II) and its effect on global mercury deposition.
• [10] SF Aldhahri,2016, Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015.
• [11] GF De Oliveira, P Cariou,2015,The impact of competition on container port (in) efficiency, - Transportation Research Part A- Elsevier.
• [12] (2017) A Simulation Study of Collaborative Approach to Berth Allocation Problem under Uncertainty.Asian Journal of Shipping and Logistics.
• [13] El Sheikh (1987), A stochastic technique is unanimously advocated for vessel cycle time.
• [14] Kia et al. (2002), and Shabayek and Yeung (2002) A simulation model for the Kwai Chung container terminals in Hong Kong,AA Shabayek, WW Yeung - European Journal of Operational Research, Elsevier.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).