Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels
•Vessels’ fuel consumption and emissions are considered by optimizing sailing speed.•Effects of quay cranes on operating cost and fuel consumption are considered.•Vessels’ emissions when moored are quantified and formulated.•Cooperative strategies between ports and shipping companies are discussed....
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| Published in: | Computers & industrial engineering Vol. 70; pp. 1 - 10 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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New York
Elsevier Ltd
01.04.2014
Pergamon Press Inc |
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| ISSN: | 0360-8352, 1879-0550 |
| Online Access: | Get full text |
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| Abstract | •Vessels’ fuel consumption and emissions are considered by optimizing sailing speed.•Effects of quay cranes on operating cost and fuel consumption are considered.•Vessels’ emissions when moored are quantified and formulated.•Cooperative strategies between ports and shipping companies are discussed.
Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels, typically by considering a vessel’s sailing speed and arrival time at a port as constant parameters, while ignoring the impact of arrival times on fuel consumption and emissions when sailing. This work applied a novel nonlinear multi-objective mixed-integer programming model that considered a vessel’s fuel consumption and emissions, and then transformed this model into a second-order mixed-integer cone programming model to solve the problem’s computational intractability. Furthermore, the impact of number of allocated quay cranes on port operational cost, and a vessel’s fuel consumption and emissions was analyzed. Additionally, a vessel’s emissions while moored are also calculated based on wait time. Experimental results demonstrate that the new berth and quay-crane allocation strategy with a vessel’s arrival time as a decision variable can significantly improve vessels’ fuel consumption and emissions, the air quality around ports and utilization of berths and quay cranes without reducing service quality. |
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| AbstractList | •Vessels’ fuel consumption and emissions are considered by optimizing sailing speed.•Effects of quay cranes on operating cost and fuel consumption are considered.•Vessels’ emissions when moored are quantified and formulated.•Cooperative strategies between ports and shipping companies are discussed.
Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels, typically by considering a vessel’s sailing speed and arrival time at a port as constant parameters, while ignoring the impact of arrival times on fuel consumption and emissions when sailing. This work applied a novel nonlinear multi-objective mixed-integer programming model that considered a vessel’s fuel consumption and emissions, and then transformed this model into a second-order mixed-integer cone programming model to solve the problem’s computational intractability. Furthermore, the impact of number of allocated quay cranes on port operational cost, and a vessel’s fuel consumption and emissions was analyzed. Additionally, a vessel’s emissions while moored are also calculated based on wait time. Experimental results demonstrate that the new berth and quay-crane allocation strategy with a vessel’s arrival time as a decision variable can significantly improve vessels’ fuel consumption and emissions, the air quality around ports and utilization of berths and quay cranes without reducing service quality. Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels, typically by considering a vessel's sailing speed and arrival time at a port as constant parameters, while ignoring the impact of arrival times on fuel consumption and emissions when sailing. This work applied a novel nonlinear multi-objective mixed-integer programming model that considered a vessel's fuel consumption and emissions, and then transformed this model into a second-order mixed-integer cone programming model to solve the problem's computational intractability. Furthermore, the impact of number of allocated quay cranes on port operational cost, and a vessel's fuel consumption and emissions was analyzed. Additionally, a vessel's emissions while moored are also calculated based on wait time. Experimental results demonstrate that the new berth and quay-crane allocation strategy with a vessel's arrival time as a decision variable can significantly improve vessels' fuel consumption and emissions, the air quality around ports and utilization of berths and quay cranes without reducing service quality. [PUBLICATION ABSTRACT] |
| Author | Hu, Zhi-Hua Hu, Qing-Mi Du, Yuquan |
| Author_xml | – sequence: 1 givenname: Qing-Mi surname: Hu fullname: Hu, Qing-Mi organization: Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China – sequence: 2 givenname: Zhi-Hua surname: Hu fullname: Hu, Zhi-Hua email: zhhu@shmtu.edu.cn organization: Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China – sequence: 3 givenname: Yuquan surname: Du fullname: Du, Yuquan organization: Department of Transportation Engineering, Inner Mongolia University, Hohhot 010070, China |
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| Keywords | Emission Fuel consumption Second-order cone programming Berth and quay crane allocation problem Nonlinear optimization |
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| Snippet | •Vessels’ fuel consumption and emissions are considered by optimizing sailing speed.•Effects of quay cranes on operating cost and fuel consumption are... Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to... |
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| SubjectTerms | Berth and quay crane allocation problem Cranes & hoists Emission Emissions Energy consumption Environmental quality Fuel consumption Integer programming Nonlinear optimization Ports Second-order cone programming Studies Vehicle emissions |
| Title | Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels |
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