The Operational Planning Model of Transhipment Processes in the Port

Jurjević, Mia; Hess, Svjetlana

doi:10.7307/ptt.v28i2.1815

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…The above scholars mainly consider the terminal system as M / M / N queuing system and use queuing theory to optimize terminal capacity planning (except [3] and [4]). Berths and quay cranes are considered as a whole in the queuing theory model and the service time of a single berth is expected to be fixed, so that the total operational capacity of the terminal is positively correlated with the number of vessels in the berth when the terminal system is not saturated.…”

Section: Container Terminal Queuing Mechanismmentioning

confidence: 99%

“…Dragu et al [1,2] took the berth idle cost and the minimum waiting cost of the vessel as the objective function, and determined the optimal number of berths by the queuing theory. Jurevic et al [3] used a linear programming model to determine the minimum operating cost of the terminal and the optimal terminal size. Garcia et al [4] discussed the application of Bayesian networks in port capacity planning, and analyzed the container terminal scenarios through a probabilistic graphical model.…”

Section: Introductionmentioning

confidence: 99%

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Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

Jiang

Zheng

et al. 2021

PROMET

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This paper constructs a berth-quay crane capacity planning model with the lowest average daily cost in the container terminal, and analyzes the influence of the number of berths and quay cranes on the terminal operation. The object of berth-quay crane capacity planning is to optimize the number of berths and quay cranes to maximize the benefits of the container terminal. A steady state probability transfer model based on Markov chain for container terminal is constructed by the historical time series of the queuing process. The current minimum time operation principle (MTOP) strategy is proposed to correct the state transition probability of the Markov chain due to the characteristics of the quay crane movement to change the service capacity of a single berth. The solution error is reduced from 7.03% to 0.65% compared to the queuing theory without considering the quay crane movement, which provides a basis for the accurate solution of the berth-quay crane capacity planning model. The proposed berth-quay crane capacity planning model is validated by two container terminal examples, and the results show that the model can greatly guide the container terminal berth-quay crane planning.

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Section: Container Terminal Queuing Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

Jiang

Zheng

et al. 2021

PROMET

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“…Brooks et al [37] mentioned that if traffic congestion at the gates of a port with the average utilization of handling equipment passes the 70% mark, it could be managed by appropriate port capacity. Jurjevic [38] pointed out that the irregularity of vessels arrival and vehicles could be reduced by the effective organization of port operations and high-level handling equipment.…”

Section: Literature Reviewmentioning

confidence: 99%

The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters

Muravev

Rakhmangulov

et al. 2019

Sustainability

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The continuous increase of trade between China and Europe brought congestion problems at major Chinese seaports. An effective way to solve this issue is to set up intermodal terminals often called dry ports. However, the dynamics of various influenced factors on dry port’s implementation calls for the adaptive and flexible planning of the terminal. This paper analyzes the shortcomings of previous research related to the dry port’s implementation from the perspective of the applied numerous parameters concerning evaluating its operational efficiency and sustainability. The operational efficiency and sustainability of a dry port are evaluated by the developed system of the main parameters. This system gives the understanding of how these parameters are interrelated between each other and fills the gap in studies of inverse interrelations between main parameters of a dry port. To fully understand the sustainability of the main parameters of a dry port, this paper puts forward the simulation models description of the developed system. The developed model is a practical tool to evaluate the reliability of hypotheses about the functional interrelations between the main parameters of the dry port, as well as to evaluate the sustainability of the system. Finally, in order to develop functional interrelations between main parameters, the data from several Chinese dry ports has been collected. Finally, the developed multi-agent system dynamics model has been validated in the case study of Yiwu dry port located in Zhejiang, China.

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“…[24,25]), transshipment optimization (e.g. [26]), spatial optimization of the IT subsystems, i.e., layout optimization (e.g. [27]), etc.…”

Section: Introductionmentioning

confidence: 99%

Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

Krstić

Tadić

Brnjac

et al. 2019

PROMET

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Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of this paper is the evaluation and the selection of the appropriate handling equipment within the intermodal terminal. As the decision-making on the handling equipment is influenced by different economic, technical, technological and other criteria, the appropriate multi-criteria decision-making (MCDM) methods have to be applied in order to solve the problem. In this paper, a novel hybrid model which combines the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) is developed. The defined model is applied for solving the case study of selecting adequate handling equipment for the planned intermodal terminal in Belgrade. The reach stacker is selected as the most adequate handling equipment since it suits best the characteristics of the planned terminal in the given conditions and in relation to the defined criteria. Solving the case study demonstrated the justification for using the MCDM methods to solve these kinds of problems as well as the applicability of the proposed MCDM model.

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The Operational Planning Model of Transhipment Processes in the Port

Abstract: ABSTRACT

Cited by 7 publications

References 10 publications

Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters

Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

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