DocumentCode :
2366949
Title :
Integrating fuel consumption and vessel emissions into berth allocation
Author :
Quan, Xiongwen ; Du, Yuquan ; Chen, Qiushuang
Author_Institution :
Center for Logistics Technol., Nankai Univ., Tianjin, China
fYear :
2011
fDate :
25-27 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper focuses on the berth allocation problem in the container terminal, considering fuel consumption and vessel emissions. By regarding the arrival times of vessels as decision variables and introducing the relationship between the fuel consumption rate and the sailing speed in the form of general power functions, we obtain a more elaborate model on the berth allocation, considering fuel consumption, than ever before. In order to overcome the computational complexity, we cast the original mixed integer nonlinear programming model as a mixed integer second order cone programming model. Furthermore, based on the fuel consumption calculation, we conduct the vessel emission calculation with the widely-used emission factors. Numerical experiments show that the proposed model can significantly reduce the fuel consumption and the vessel emissions in sailing periods, without lowering the service level of the terminal. This effort on maritime emissions is consistent with the environmental concerns of the international maritime organization.
Keywords :
computational complexity; emission; environmental factors; goods distribution; integer programming; nonlinear programming; sea ports; berth allocation problem; computational complexity; container terminal; fuel consumption rate; general power functions; international maritime organization; mixed integer nonlinear programming model; mixed integer second order cone programming model; sailing speed; vessel emission calculation; Computational modeling; Containers; Delay; Fuels; Nickel; Numerical models; Resource management; berth allocation; emission; fuel consumption; second order cone programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2011 8th International Conference on
Conference_Location :
Tianjin
ISSN :
2161-1890
Print_ISBN :
978-1-61284-310-0
Type :
conf
DOI :
10.1109/ICSSSM.2011.5959333
Filename :
5959333
Link To Document :
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