Routing optimization for multi-type containerships in a hub-and-spoke network

Ji, Mingjun; Shen, Lianfeng; Shi, Baishun; Xue, Yanyan; Wang, Fei

doi:10.1016/j.jtte.2015.08.008

Cited by 12 publications

(9 citation statements)

References 18 publications

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“…is the correlation allowance coefficient, which can be determined by: Based on the equations (14) to (18), the ship still water resistance under different speeds and drafts can be estimated, as shown in the 3-dimensional Figure 9. The wind resistance can be calculated by (Diesel MAN 2011; Andersen 2013):…”

Section: Model-ship Correlation Resistancementioning

confidence: 99%

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A novel ship energy efficiency model considering random environmental parameters

Fan

Yan

Bucknall

et al. 2018

Journal of Marine Engineering & Technology

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Energy efficiency management is becoming increasingly important in the trend towards decarbonisation and intelligentisation of future ships. Establishing a verified energy efficiency model is essential in realising reliable assessment of various energy efficiency strategies. Based on a 53,000-tonne bulk carrier, modelling and verification of a ship's energy efficiency with consideration of multiple factors is carried out. First, the existing ship's energy efficiency regulation and its evaluation methods are introduced. Second, the onboard data collection system is introduced with the features of the measured data detailed. A ship energy efficiency model is developed from four main aspects, namely ship energy efficiency operational indicator, ship fuel consumption, ship main engine power, and ship resistance characteristics. Based on the Monte Carlo simulation method and utilizing Matlab/Simulink, the energy efficiency model for the selected ship is simulated and measured fuel consumption data is used to verify the model. Finally, the simulation results are presented and discussed. The research results show that the devised model provides good enough accuracy to simulate ship energy efficiency with consideration to cargo loading, ship speed and the random impact of multiple natural environmental parameters. This study not only helps the ship manager assess the projected energy efficiency, but can also provide decision support for the optimisation of ship energy efficiency.

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Section: Model-ship Correlation Resistancementioning

confidence: 99%

“…It is estimated that typically a ship's fuel costs account for 50% of the total cost of running the ship (Banawan 2013) with the actual cost dependent of bunker prices. Reducing fuel costs through greater efficiencies has become one of the more effective means to improve the competitiveness of the companies (Ji 2015).…”

Section: Introductionmentioning

confidence: 99%

A novel ship energy efficiency model considering random environmental parameters

Fan

Yan

Bucknall

et al. 2018

Journal of Marine Engineering & Technology

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“…NA IV includes legs 12,13,14,15,16,17,18,19,20, and 21; all 10 of the legs are located in the lower reach of the Yangtze River, which is usually called the natural waterway. The depth in this area is larger than that in the middle reach (Figure 1).…”

Section: Combined Analysis Of the Navigational Environment And The Enmentioning

confidence: 99%

“…Currently, there are researchers focusing on the study of energy conservation through weather routing, that is, selecting optimal routes under different weather statuses or navigational environments. For example, Takashima et al 11 and Ji et al 12 studied the fuel-saving operation for coastal merchant ships using weather routing; Shao et al 13 and Lin et al 14 developed three-dimensional dynamic programming methods for weather routing; Zhang et al 15 developed a method for the shortest time routing based on an instantaneous depth model combined with the electronic chart; Qiankun et al 16 and Fan et al 17 established an optimization model of ship speed considering the impact of water flow. In general, the present research of ship energy conservation considering the impact of the navigational environment mainly focused on the mechanism of analysis and on ocean ships or offshore ships; 18 in contrast, few studies focus on inland ships.…”

Section: Introductionmentioning

confidence: 99%

Clustering of the inland waterway navigational environment and its effects on ship energy consumption

Fan

Yan

Yin

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part M:

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This article examines the distribution characteristics of the navigational environment in the Yangtze River trunk line using several information collection sensors installed on ships that navigate in this line. Through experiments on these ships, data of energy consumption and the navigational environment are collected. Water flow and waterway depth are proved to be the main influencing factors on the ship energy consumption via Spearman's correlation analysis. Next, data of water velocity and waterway depth that cover the entire trunk line are graded using the k-means clustering algorithm. To build an evaluation matrix of navigational environment, the frequency distribution of each grade in different Yangtze River legs is counted statistically, and on this basis, similar legs are clustered using the hierarchical clustering algorithm. In this way, the waterway partition in the Yangtze River trunk line is completed. Furthermore, the distribution of the energy consumption of ships in different legs is also calculated. The study results indicate that not only the navigational environment of the Yangtze River trunk line but also the energy consumption level of ships have distinctive regional differences. Finally, the laws of the Yangtze River navigational environment are analyzed, and the corresponding energysaving navigation strategies are proposed, which are useful for crews to operate their ships in energy-efficient and safe conditions.

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“…Trunk and feeder network design problems were suggested to be solved by methods like: variable neighborhood search [6], genetic algorithm-based heuristic [7], liner programming, particularly, using simplex algorithm [8], mixed integer liner programming [9][10].…”

Section: Introductionmentioning

confidence: 99%

The Model of Container Feeder Line Organization Focused on the Nature and Parameters of External Container Flows

Drozhzhyn¹,

Коскіна²

2021

Komunikácie

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This article considers the trunk lines, connected with the feeder region as the external environment for the system - feeder lines (its subsystems are container flows, ports and container ships). Hub ports are considered to be the boundary of the system and the external environment. Thus, mathematical models were simulated for the two levels. At the first level, container flows are determined (based on statistical data), which enter and exit the hub. At the second level, the mathematical model allows to find for the feeder line: volumes of container flows, the total capacity of the ships which serves the cargo, and parts of the distribution of this capacity between feeder ports.

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Routing optimization for multi-type containerships in a hub-and-spoke network

Cited by 12 publications

References 18 publications

A novel ship energy efficiency model considering random environmental parameters

A novel ship energy efficiency model considering random environmental parameters

Clustering of the inland waterway navigational environment and its effects on ship energy consumption

The Model of Container Feeder Line Organization Focused on the Nature and Parameters of External Container Flows

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