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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Veröffentlicht in:	Computers & industrial engineering Jg. 70; S. 1 - 10
Hauptverfasser:	Hu, Qing-Mi, Hu, Zhi-Hua, Du, Yuquan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.04.2014 Pergamon Press Inc
Schlagworte:	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 Emission Fuel consumption Second-order cone programming Berth and quay crane allocation problem Nonlinear optimization
ISSN:	0360-8352, 1879-0550
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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.
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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Cites_doi	10.1016/j.tre.2006.08.001 10.1007/s00291-003-0157-z 10.1016/0191-2615(89)90001-5 10.1016/j.tre.2012.02.001 10.1016/j.tre.2010.05.008 10.1016/j.trd.2009.08.005 10.1057/mel.2009.12 10.1016/j.atmosenv.2007.09.071 10.1007/s00291-009-0186-3 10.1002/1520-6750(199402)41:1<1::AID-NAV3220410102>3.0.CO;2-L 10.1057/mel.2010.11 10.1016/S0191-2615(99)00057-0 10.1057/jors.2009.77 10.1016/j.enpol.2011.09.046 10.1007/s00291-007-0100-9 10.1007/s00291-002-0109-z 10.1016/j.trd.2011.06.007 10.1016/j.tre.2007.03.003 10.1016/j.tre.2012.07.002 10.1007/s10107-002-0339-5 10.1016/j.trb.2007.02.006 10.1016/j.tre.2011.05.011 10.1016/S0191-2615(02)00027-9 10.1016/j.ejor.2009.05.031 10.1016/j.cie.2008.09.024
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Keywords	Emission Fuel consumption Second-order cone programming Berth and quay crane allocation problem Nonlinear optimization
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References	Imai, Nishimura, Papadimitriou (b0075) 2001; 35 Daganzo (b0040) 1989; 23 Fagerholt, Laporte, Norstad (b0055) 2010; 61 Alvarez, Longva, Engebrethsen (b0010) 2010; 12 Bierwirth, Meisel (b0015) 2010; 202 Accessed 03.04.13. Golias, Saharidis, Boile, Theofanis, Ierapetritou (b0060) 2009; 11 COSCO (2009). COSCO Sustainable development report 2008 Li, Cai, Lee (b0100) 1998; 30 Goodchild, Daganzo (b0065) 2007; 41 Dedes, Hudson, Turnock (b0045) 2012; 40 Steenken, Voß, Stahlbock (b0135) 2004; 26 Lee, Wang, Miao (b0090) 2008; 44 Kim, Moon (b0080) 2003; 37 Song, Xu (b0120) 2012; 17 Corbett, Wang, Winebrake (b0030) 2009; 14 Park, Kim (b0105) 2003; 25 Imai, Chen, Nishimura, Papadimitriou (b0070) 2008; 44 Accessed 10.08.10. Schrooten, Vlieger, Panis, Styns, Torfs (b0115) 2008; 42 Liang, Huang, Yang (b0095) 2008; 56 Qi, Song (b0110) 2012; 48 Stahlbock, Voß (b0125) 2008; 30 Lang, Veenstra (b0085) 2010; 32 Chang, Jiang, Yan, He (b0025) 2010; 46 Du, Chen, Quan, Long, Fung (b0050) 2011; 47 Alizadeh, Goldfarb (b0005) 2003; 95 Brown, Lawphongpanich, Thurman (b0020) 1994; 41 Wang, Meng, Liu (b0140) 2013; 49 Starcrest Consulting Group (2010). Port of Los Angles Inventory of Air Emissions Alizadeh (10.1016/j.cie.2014.01.003_b0005) 2003; 95 Liang (10.1016/j.cie.2014.01.003_b0095) 2008; 56 Chang (10.1016/j.cie.2014.01.003_b0025) 2010; 46 Daganzo (10.1016/j.cie.2014.01.003_b0040) 1989; 23 Song (10.1016/j.cie.2014.01.003_b0120) 2012; 17 Wang (10.1016/j.cie.2014.01.003_b0140) 2013; 49 Corbett (10.1016/j.cie.2014.01.003_b0030) 2009; 14 Park (10.1016/j.cie.2014.01.003_b0105) 2003; 25 Imai (10.1016/j.cie.2014.01.003_b0070) 2008; 44 10.1016/j.cie.2014.01.003_b0130 Steenken (10.1016/j.cie.2014.01.003_b0135) 2004; 26 10.1016/j.cie.2014.01.003_b0035 Alvarez (10.1016/j.cie.2014.01.003_b0010) 2010; 12 Bierwirth (10.1016/j.cie.2014.01.003_b0015) 2010; 202 Fagerholt (10.1016/j.cie.2014.01.003_b0055) 2010; 61 Lee (10.1016/j.cie.2014.01.003_b0090) 2008; 44 Dedes (10.1016/j.cie.2014.01.003_b0045) 2012; 40 Imai (10.1016/j.cie.2014.01.003_b0075) 2001; 35 Kim (10.1016/j.cie.2014.01.003_b0080) 2003; 37 Goodchild (10.1016/j.cie.2014.01.003_b0065) 2007; 41 Schrooten (10.1016/j.cie.2014.01.003_b0115) 2008; 42 Du (10.1016/j.cie.2014.01.003_b0050) 2011; 47 Li (10.1016/j.cie.2014.01.003_b0100) 1998; 30 Qi (10.1016/j.cie.2014.01.003_b0110) 2012; 48 Stahlbock (10.1016/j.cie.2014.01.003_b0125) 2008; 30 Brown (10.1016/j.cie.2014.01.003_b0020) 1994; 41 Golias (10.1016/j.cie.2014.01.003_b0060) 2009; 11 Lang (10.1016/j.cie.2014.01.003_b0085) 2010; 32
References_xml	– volume: 47 start-page: 1021 year: 2011 end-page: 1037 ident: b0050 article-title: Berth allocation considering fuel consumption and vessel emissions publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 49 start-page: 48 year: 2013 end-page: 54 ident: b0140 article-title: A note on “Berth allocation considering fuel consumption and vessel emissions publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 32 start-page: 477 year: 2010 end-page: 499 ident: b0085 article-title: A quantitative analysis of container vessel arrival planning strategies publication-title: OR Spectrum – volume: 40 start-page: 204 year: 2012 end-page: 218 ident: b0045 article-title: Assessing the potential of hybrid energy technology to reduce exhaust emissions from global shipping publication-title: Energy Policy – volume: 41 start-page: 875 year: 2007 end-page: 891 ident: b0065 article-title: Crane double cycling in container ports: Planning methods and evaluation publication-title: Transportation Research Part B: Methodological – volume: 35 start-page: 401 year: 2001 end-page: 417 ident: b0075 article-title: The dynamic berth allocation problem for a container port publication-title: Transportation Research Part B: Methodological – volume: 44 start-page: 900 year: 2008 end-page: 920 ident: b0070 article-title: The simultaneous berth and quay crane allocation problem publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 23 start-page: 159 year: 1989 end-page: 175 ident: b0040 article-title: The crane scheduling problem publication-title: Transportation Research Part B: Methodological – volume: 202 start-page: 615 year: 2010 end-page: 627 ident: b0015 article-title: A survey of berth allocation and quay crane scheduling problems in container terminal publication-title: European Journal of Operational Research – volume: 12 start-page: 327 year: 2010 end-page: 346 ident: b0010 article-title: A methodology to assess vessel berthing and speed optimization policies publication-title: Maritime Economics and Logistics – volume: 26 start-page: 3 year: 2004 end-page: 49 ident: b0135 article-title: Container terminal operation and operations research – A classification and literature review publication-title: OR Spectrum – volume: 11 start-page: 358 year: 2009 end-page: 377 ident: b0060 article-title: The berth allocation problem: Optimizing vessel arrival time publication-title: Maritime Economics and Logistics – volume: 48 start-page: 863 year: 2012 end-page: 880 ident: b0110 article-title: Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 25 start-page: 1 year: 2003 end-page: 23 ident: b0105 article-title: A scheduling method for Berth and Quay cranes publication-title: OR Spectrum – volume: 14 start-page: 593 year: 2009 end-page: 598 ident: b0030 article-title: The effectiveness and costs of speed reductions on emissions from international shipping publication-title: Transportation Research Part D: Transport and Environment – reference: > Accessed 10.08.10. – volume: 42 start-page: 667 year: 2008 end-page: 676 ident: b0115 article-title: Inventory and forecasting of maritime emissions in the Belgian sea territory, an activity-based emission model publication-title: Atmospheric Environment – reference: COSCO (2009). COSCO Sustainable development report 2008 < – volume: 46 start-page: 975 year: 2010 end-page: 990 ident: b0025 article-title: Integrating berth allocation and quay crane assignments publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 95 start-page: 3 year: 2003 end-page: 51 ident: b0005 article-title: Second-order cone programming publication-title: Mathematical Programming, Series B – volume: 30 start-page: 433 year: 1998 end-page: 445 ident: b0100 article-title: Scheduling with multiple-job-on-one-processor pattern publication-title: IIE Transactions (Institute of Industrial Engineers) – reference: Starcrest Consulting Group (2010). Port of Los Angles Inventory of Air Emissions < – reference: > Accessed 03.04.13. – volume: 41 start-page: 1 year: 1994 end-page: 15 ident: b0020 article-title: Optimizing ship berthing publication-title: Naval Research Logistics – volume: 44 start-page: 124 year: 2008 end-page: 135 ident: b0090 article-title: Quay crane scheduling with non-interference constraints in port container terminals publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 61 start-page: 523 year: 2010 end-page: 529 ident: b0055 article-title: Reducing fuel emissions by optimizing speed on shipping routes publication-title: Journal of the Operational Research Society – volume: 30 start-page: 1 year: 2008 end-page: 52 ident: b0125 article-title: Operations research at container terminals: A literature update publication-title: OR Spectrum – volume: 56 start-page: 1021 year: 2008 end-page: 1028 ident: b0095 article-title: A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation planning publication-title: Computers and Industrial Engineering – volume: 37 start-page: 541 year: 2003 end-page: 560 ident: b0080 article-title: Berth scheduling by simulated annealing publication-title: Transportation Research Part B: Methodological – volume: 17 start-page: 91 year: 2012 end-page: 96 ident: b0120 article-title: An operational activity-based method to estimate CO publication-title: Transportation Research Part D – volume: 44 start-page: 124 issue: 1 year: 2008 ident: 10.1016/j.cie.2014.01.003_b0090 article-title: Quay crane scheduling with non-interference constraints in port container terminals publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2006.08.001 – volume: 26 start-page: 3 issue: 1 year: 2004 ident: 10.1016/j.cie.2014.01.003_b0135 article-title: Container terminal operation and operations research – A classification and literature review publication-title: OR Spectrum doi: 10.1007/s00291-003-0157-z – volume: 30 start-page: 433 issue: 5 year: 1998 ident: 10.1016/j.cie.2014.01.003_b0100 article-title: Scheduling with multiple-job-on-one-processor pattern publication-title: IIE Transactions (Institute of Industrial Engineers) – volume: 23 start-page: 159 issue: 3 year: 1989 ident: 10.1016/j.cie.2014.01.003_b0040 article-title: The crane scheduling problem publication-title: Transportation Research Part B: Methodological doi: 10.1016/0191-2615(89)90001-5 – volume: 48 start-page: 863 issue: 4 year: 2012 ident: 10.1016/j.cie.2014.01.003_b0110 article-title: Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2012.02.001 – volume: 46 start-page: 975 issue: 6 year: 2010 ident: 10.1016/j.cie.2014.01.003_b0025 article-title: Integrating berth allocation and quay crane assignments publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2010.05.008 – volume: 14 start-page: 593 issue: 8 year: 2009 ident: 10.1016/j.cie.2014.01.003_b0030 article-title: The effectiveness and costs of speed reductions on emissions from international shipping publication-title: Transportation Research Part D: Transport and Environment doi: 10.1016/j.trd.2009.08.005 – volume: 11 start-page: 358 issue: 4 year: 2009 ident: 10.1016/j.cie.2014.01.003_b0060 article-title: The berth allocation problem: Optimizing vessel arrival time publication-title: Maritime Economics and Logistics doi: 10.1057/mel.2009.12 – volume: 42 start-page: 667 issue: 4 year: 2008 ident: 10.1016/j.cie.2014.01.003_b0115 article-title: Inventory and forecasting of maritime emissions in the Belgian sea territory, an activity-based emission model publication-title: Atmospheric Environment doi: 10.1016/j.atmosenv.2007.09.071 – volume: 32 start-page: 477 issue: 3 year: 2010 ident: 10.1016/j.cie.2014.01.003_b0085 article-title: A quantitative analysis of container vessel arrival planning strategies publication-title: OR Spectrum doi: 10.1007/s00291-009-0186-3 – volume: 41 start-page: 1 issue: 1 year: 1994 ident: 10.1016/j.cie.2014.01.003_b0020 article-title: Optimizing ship berthing publication-title: Naval Research Logistics doi: 10.1002/1520-6750(199402)41:1<1::AID-NAV3220410102>3.0.CO;2-L – volume: 12 start-page: 327 issue: 4 year: 2010 ident: 10.1016/j.cie.2014.01.003_b0010 article-title: A methodology to assess vessel berthing and speed optimization policies publication-title: Maritime Economics and Logistics doi: 10.1057/mel.2010.11 – volume: 35 start-page: 401 issue: 4 year: 2001 ident: 10.1016/j.cie.2014.01.003_b0075 article-title: The dynamic berth allocation problem for a container port publication-title: Transportation Research Part B: Methodological doi: 10.1016/S0191-2615(99)00057-0 – volume: 61 start-page: 523 issue: 3 year: 2010 ident: 10.1016/j.cie.2014.01.003_b0055 article-title: Reducing fuel emissions by optimizing speed on shipping routes publication-title: Journal of the Operational Research Society doi: 10.1057/jors.2009.77 – volume: 40 start-page: 204 issue: 1 year: 2012 ident: 10.1016/j.cie.2014.01.003_b0045 article-title: Assessing the potential of hybrid energy technology to reduce exhaust emissions from global shipping publication-title: Energy Policy doi: 10.1016/j.enpol.2011.09.046 – volume: 30 start-page: 1 issue: 1 year: 2008 ident: 10.1016/j.cie.2014.01.003_b0125 article-title: Operations research at container terminals: A literature update publication-title: OR Spectrum doi: 10.1007/s00291-007-0100-9 – volume: 25 start-page: 1 issue: 1 year: 2003 ident: 10.1016/j.cie.2014.01.003_b0105 article-title: A scheduling method for Berth and Quay cranes publication-title: OR Spectrum doi: 10.1007/s00291-002-0109-z – volume: 17 start-page: 91 issue: 1 year: 2012 ident: 10.1016/j.cie.2014.01.003_b0120 article-title: An operational activity-based method to estimate CO2 emissions from container shipping considering empty container repositioning publication-title: Transportation Research Part D doi: 10.1016/j.trd.2011.06.007 – volume: 44 start-page: 900 issue: 5 year: 2008 ident: 10.1016/j.cie.2014.01.003_b0070 article-title: The simultaneous berth and quay crane allocation problem publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2007.03.003 – volume: 49 start-page: 48 issue: 1 year: 2013 ident: 10.1016/j.cie.2014.01.003_b0140 article-title: A note on “Berth allocation considering fuel consumption and vessel emissions publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2012.07.002 – volume: 95 start-page: 3 issue: 1 year: 2003 ident: 10.1016/j.cie.2014.01.003_b0005 article-title: Second-order cone programming publication-title: Mathematical Programming, Series B doi: 10.1007/s10107-002-0339-5 – volume: 41 start-page: 875 issue: 8 year: 2007 ident: 10.1016/j.cie.2014.01.003_b0065 article-title: Crane double cycling in container ports: Planning methods and evaluation publication-title: Transportation Research Part B: Methodological doi: 10.1016/j.trb.2007.02.006 – volume: 47 start-page: 1021 issue: 6 year: 2011 ident: 10.1016/j.cie.2014.01.003_b0050 article-title: Berth allocation considering fuel consumption and vessel emissions publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2011.05.011 – volume: 37 start-page: 541 issue: 6 year: 2003 ident: 10.1016/j.cie.2014.01.003_b0080 article-title: Berth scheduling by simulated annealing publication-title: Transportation Research Part B: Methodological doi: 10.1016/S0191-2615(02)00027-9 – volume: 202 start-page: 615 issue: 3 year: 2010 ident: 10.1016/j.cie.2014.01.003_b0015 article-title: A survey of berth allocation and quay crane scheduling problems in container terminal publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2009.05.031 – ident: 10.1016/j.cie.2014.01.003_b0130 – ident: 10.1016/j.cie.2014.01.003_b0035 – volume: 56 start-page: 1021 issue: 3 year: 2008 ident: 10.1016/j.cie.2014.01.003_b0095 article-title: A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation planning publication-title: Computers and Industrial Engineering doi: 10.1016/j.cie.2008.09.024
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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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