Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm
We consider the problem of real-life evacuation of people at sea. The primary disaster response goal is to minimize the time to save all the people during the evacuation operation, taking into account different groups at risk (children, women, seniors etc.) and the evacuation processing time (includ...
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| Published in | Annals of operations research Vol. 296; no. 1-2; pp. 407 - 420 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.01.2021
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0254-5330 1572-9338 |
| DOI | 10.1007/s10479-020-03632-6 |
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| Abstract | We consider the problem of real-life evacuation of people at sea. The primary disaster response goal is to minimize the time to save all the people during the evacuation operation, taking into account different groups at risk (children, women, seniors etc.) and the evacuation processing time (including the routing time), subject to a budget constraint. There are different evacuation tools (e.g., lifeboats, salvage ships, sea robots, helicopters etc.) for rescuing groups at risk to some safe points (e.g., hospitals, other ships, police offices etc.). The evacuation processing time of a group at risk depends on the group and the evacuation tool used. The secondary goal is to minimize the cost among all the alternative optimal solutions for the primary goal. We present a new mathematical rescue-evacuation model and design a fast solution method for real-time emergency response for different population groups and different evacuation tools, based on iterative utilization of a modification of the scheduling algorithm introduced by Leung and Ng (Eur J Oper Res 260:507–513, 2017). |
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| AbstractList | We consider the problem of real-life evacuation of people at sea. The primary disaster response goal is to minimize the time to save all the people during the evacuation operation, taking into account different groups at risk (children, women, seniors etc.) and the evacuation processing time (including the routing time), subject to a budget constraint. There are different evacuation tools (e.g., lifeboats, salvage ships, sea robots, helicopters etc.) for rescuing groups at risk to some safe points (e.g., hospitals, other ships, police offices etc.). The evacuation processing time of a group at risk depends on the group and the evacuation tool used. The secondary goal is to minimize the cost among all the alternative optimal solutions for the primary goal. We present a new mathematical rescue-evacuation model and design a fast solution method for real-time emergency response for different population groups and different evacuation tools, based on iterative utilization of a modification of the scheduling algorithm introduced by Leung and Ng (Eur J Oper Res 260:507–513, 2017). |
| Audience | Academic |
| Author | Kriheli, Boris Levner, Eugene Cheng, T. C. E. Ng, Chi To |
| Author_xml | – sequence: 1 givenname: Chi To orcidid: 0000-0003-0020-8234 surname: Ng fullname: Ng, Chi To email: daniel.ng@polyu.edu.hk organization: Logistics Research Centre, Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University – sequence: 2 givenname: T. C. E. surname: Cheng fullname: Cheng, T. C. E. organization: Logistics Research Centre, Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University – sequence: 3 givenname: Eugene surname: Levner fullname: Levner, Eugene organization: Department of Computer Science, Holon Institute of Technology – sequence: 4 givenname: Boris surname: Kriheli fullname: Kriheli, Boris organization: Department of Economics, Ashkelon Academic College |
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| CitedBy_id | crossref_primary_10_1016_j_ress_2024_110075 crossref_primary_10_1016_j_simpat_2023_102843 crossref_primary_10_3788_LOP241156 crossref_primary_10_3390_jmse11040781 crossref_primary_10_1016_j_oceaneng_2022_112403 crossref_primary_10_1007_s10951_022_00720_2 crossref_primary_10_1016_j_oceaneng_2022_112371 crossref_primary_10_1016_j_oceaneng_2024_118590 crossref_primary_10_3390_pr10112287 crossref_primary_10_1109_ACCESS_2023_3331062 |
| Cites_doi | 10.1016/S0925-7535(02)00046-2 10.3801/IAFSS.FSS.11-1063 10.1016/j.ijpe.2013.01.003 10.1016/j.cie.2014.08.003 10.1007/s10479-018-2985-x 10.1007/s10479-017-2593-1 10.1016/0379-7112(85)90009-8 10.1016/j.cie.2008.09.033 10.1007/978-1-4419-9725-8_62 10.1016/j.seps.2011.04.004 10.1016/j.cie.2013.03.001 10.1109/TASE.2012.2200039 10.1007/s10479-015-2104-1 10.1016/0377-2217(94)00230-4 10.1007/s10479-016-2302-5 10.1016/0377-2217(88)90382-7 10.1016/j.ejor.2017.01.013 10.3390/fi5010046 |
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| Keywords | Bi-criterion planning Accidents at sea Disaster response Scheduling algorithm Disaster management |
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| References | LeeDKimHParkJ-HParkBJThe current status and future issues in human evacuation from shipsSafety Science20034186187610.1016/S0925-7535(02)00046-2 M. Miah, “Survey of data mining methods in emergency evacuation planning”. Proceedings of the Conference for Information Systems Applied Research (CONISAR 2011), Wilmington North Carolina, USA, 2011. Hoffmann, P., Höferlin, M., Kirstädter, A., & Weiskopf, D. (2013). Dynamic evacuation planning by visual analytics—An expert survey. In SIGRAD 2013. Togawa, K. (1955). Study of Fire Escapes Basing on the Observation of Multitude Currents, Report No. 14. Building Research Institute, Ministry of Construction, Tokyo. AkbariAPelotREiseltHAA modular capacitated multi-objective model for locating maritime search and rescue vesselsAnnals of Operations Research20182671–232810.1007/s10479-017-2593-1 BakuliDLSmithJMResource allocation state emergency evacuation networksEuropean Journal of Operational Research19968954355310.1016/0377-2217(94)00230-4 HamacherHWTjandraSASchreckenbergMSharmaSDMathematical modeling of evacuation problems: A state of the artPedestrian and evacuation dynamics2002BerlinSpringer-Verlag227266 TangHElaloufALevnerEChengTCEEfficient computation of evacuation routes on a three-dimensional geometric networkComputers & Industrial Engineering20147623124210.1016/j.cie.2014.08.003 NgCTChengTCEElaloufALevnerEChanDDesign and analysis of a fast approximation algorithm for multi-modal emergency evacuation routes in the 3D environmentEnvironmental science and information application technology2015Boca RatonCRC Press307312 OsmanMSRamBTwo-phase evacuation route planning approach using combined path networks for building and roadsComputers & Industrial Engineering201365223324510.1016/j.cie.2013.03.001 ChuCWLuHAPanCZEmergency evacuation route for the passenger shipJournal of Marine Science and Technology2013215515521 FCCA, Florida-Caribbean Cruise AssociationCruise industry overview 2018: State of the cruise industry2018FloridaPembroke Pines IMO, International Marine Organization. (2002). Interim Guidelines for Evacuation Analysis of New and Existing Passengers Ships. MSC/Circ.1033, June 2002. KriheliBLevnerEChengTCENgCTScheduling of rescue operations with overlooking within short response time: An approach for quick response to urgent relief demandInternational Journal of Advances in Electronics and Computer Science20174113639 VassalosDPassenger ship safety: Containing the riskMarine Technology2006434203212 Hoppe, B., & Tardos, E. (1994). Polynomial time algorithms for some evacuation problems. In Proceedings of the 5th annual ACM-SIAM symposium on discrete algorithms (pp. 433–441). YuanYWangDPath selection model and algorithm for emergency logistics managementComputers & Industrial Engineering20095631081109410.1016/j.cie.2008.09.033 FrancisRLKiskoTMEVACNET+: A computer program to determine optimal building evacuation plansFire Safety Journal1985921122010.1016/0379-7112(85)90009-8 LeungJY-TNgCTFast approximation algorithms for uniform machine scheduling with processing set restrictionsEuropean Journal of Opererational Research201726050751310.1016/j.ejor.2017.01.013 ElaloufALevnerEChengTCERouting and dispatching of mobile agents in integrated enterprisesInternational Journal of Production Economics201314519610610.1016/j.ijpe.2013.01.003 PyakurelUDhamalaTNContinuous dynamic contraflow approach for evacuation planningAnnals of Operations Research2017253157359810.1007/s10479-016-2302-5 BendelJKlüpfelHPeacockRKuligowskiEAverillJAccessibility and evacuation planning—similarities and differencesPedestrian and evacuation dynamics2011BostonSpringer70171210.1007/978-1-4419-9725-8_62 DesmetAGelenbeEGraph and analytical models for emergency evacuationFuture Internet20135465510.3390/fi5010046 DuhamelCSantosACBrasilDChâteletEBirregahBConnecting a population dynamic model with a multi-period location-allocation problem for post-disaster relief operationsAnnals of Operations Research2016247269371310.1007/s10479-015-2104-1 LuhPBWilkieCTChangS-CMarshKLOldermanNModeling and optimization of building emergency evacuation considering blocking effects on crowd movementIEEE Transactions on Automation Science and Engineering20129468770010.1109/TASE.2012.2200039 MishraDKumarSHassiniECurrent trends in disaster management simulation modelling researchAnnals of Operations Research20192831–21387141110.1007/s10479-018-2985-x CaunhyeAMNieXPokharelAOptimization models in emergency logistics: A literature reviewSocio-Economic Planning Science201246141310.1016/j.seps.2011.04.004 Cuesta, A., Alvear, D., Abreu, D., & Silio, D. (2014). Real-time stochastic evacuation models for decision support in actual emergencies. In Proceedings of the 11th international symposium on fire safety science (SFSS-14), February 2014, University of Canterbury Press, New Zealand (pp. 10–14). 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| References_xml | – reference: OsmanMSRamBTwo-phase evacuation route planning approach using combined path networks for building and roadsComputers & Industrial Engineering201365223324510.1016/j.cie.2013.03.001 – reference: BendelJKlüpfelHPeacockRKuligowskiEAverillJAccessibility and evacuation planning—similarities and differencesPedestrian and evacuation dynamics2011BostonSpringer70171210.1007/978-1-4419-9725-8_62 – reference: Togawa, K. (1955). Study of Fire Escapes Basing on the Observation of Multitude Currents, Report No. 14. Building Research Institute, Ministry of Construction, Tokyo. – reference: IMO, International Marine Organization. (2002). Interim Guidelines for Evacuation Analysis of New and Existing Passengers Ships. MSC/Circ.1033, June 2002. – reference: MishraDKumarSHassiniECurrent trends in disaster management simulation modelling researchAnnals of Operations Research20192831–21387141110.1007/s10479-018-2985-x – reference: ChoiWHamacherHWTufeckiSModeling of building evacuation problems by network flows with constraintsEuropean Journal of Operational Research1988359811010.1016/0377-2217(88)90382-7 – reference: AkbariAPelotREiseltHAA modular capacitated multi-objective model for locating maritime search and rescue vesselsAnnals of Operations Research20182671–232810.1007/s10479-017-2593-1 – reference: NgCTChengTCEElaloufALevnerEChanDDesign and analysis of a fast approximation algorithm for multi-modal emergency evacuation routes in the 3D environmentEnvironmental science and information application technology2015Boca RatonCRC Press307312 – reference: M. Miah, “Survey of data mining methods in emergency evacuation planning”. Proceedings of the Conference for Information Systems Applied Research (CONISAR 2011), Wilmington North Carolina, USA, 2011. – reference: DuhamelCSantosACBrasilDChâteletEBirregahBConnecting a population dynamic model with a multi-period location-allocation problem for post-disaster relief operationsAnnals of Operations Research2016247269371310.1007/s10479-015-2104-1 – reference: LuhPBWilkieCTChangS-CMarshKLOldermanNModeling and optimization of building emergency evacuation considering blocking effects on crowd movementIEEE Transactions on Automation Science and Engineering20129468770010.1109/TASE.2012.2200039 – reference: Hoffmann, P., Höferlin, M., Kirstädter, A., & Weiskopf, D. (2013). Dynamic evacuation planning by visual analytics—An expert survey. In SIGRAD 2013. – reference: FrancisRLKiskoTMEVACNET+: A computer program to determine optimal building evacuation plansFire Safety Journal1985921122010.1016/0379-7112(85)90009-8 – reference: LeungJY-TNgCTFast approximation algorithms for uniform machine scheduling with processing set restrictionsEuropean Journal of Opererational Research201726050751310.1016/j.ejor.2017.01.013 – reference: VassalosDPassenger ship safety: Containing the riskMarine Technology2006434203212 – reference: ChuCWLuHAPanCZEmergency evacuation route for the passenger shipJournal of Marine Science and Technology2013215515521 – reference: TangHElaloufALevnerEChengTCEEfficient computation of evacuation routes on a three-dimensional geometric networkComputers & Industrial Engineering20147623124210.1016/j.cie.2014.08.003 – reference: DesmetAGelenbeEGraph and analytical models for emergency evacuationFuture Internet20135465510.3390/fi5010046 – reference: HamacherHWTjandraSASchreckenbergMSharmaSDMathematical modeling of evacuation problems: A state of the artPedestrian and evacuation dynamics2002BerlinSpringer-Verlag227266 – reference: CaunhyeAMNieXPokharelAOptimization models in emergency logistics: A literature reviewSocio-Economic Planning Science201246141310.1016/j.seps.2011.04.004 – reference: Hoppe, B., & Tardos, E. 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| SubjectTerms | Aircraft accidents Algorithms Business and Management China Combinatorics Disaster management Emergency response Evacuation Evacuation of civilians Evacuations & rescues Helicopters Iterative methods Lifeboats Marine accidents Methods Operations research Operations Research/Decision Theory Police Rescue work Risk S.i.: Mopgp 2017 Scheduling Scheduling (Management) Ships Theory of Computation |
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| Title | Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm |
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