Research article Special Issues

Coordinated location-allocation of cruise ship emergency supplies under public health emergencies

  • Received: 11 November 2022 Revised: 08 January 2023 Accepted: 30 January 2023 Published: 07 February 2023
  • For the rapid development of the cruise industry, the cruise disaster relief supply chain has attracted extensive attention, especially because COVID-19 cases on international cruise ships occurred. In this paper, we propose an idea of coordination layout for cruise ship emergency supplies, the problem optimized two objective functions of maximizing coverage satisfaction and minimizing the total cost, addressing the low efficiency of resource utilization at the same. By applying to cruise ship emergency supplies layout of Northeast Asia cruise port group system, using expert scoring method and AHP to evaluate cruise port security vulnerability. The NSGA-II algorithm is used to solve the multi-objective programming model. A numerical example shows that the optimization design model and method are valid and feasible, and the algorithm is efficient for solving the above collaborative location and allocation problem of sectional reserves, which can also offer a variety of decision-making options.

    Citation: Liling Huang, Yong Tan, Jinzhu Ye, Xu Guan. Coordinated location-allocation of cruise ship emergency supplies under public health emergencies[J]. Electronic Research Archive, 2023, 31(4): 1804-1821. doi: 10.3934/era.2023093

    Related Papers:

  • For the rapid development of the cruise industry, the cruise disaster relief supply chain has attracted extensive attention, especially because COVID-19 cases on international cruise ships occurred. In this paper, we propose an idea of coordination layout for cruise ship emergency supplies, the problem optimized two objective functions of maximizing coverage satisfaction and minimizing the total cost, addressing the low efficiency of resource utilization at the same. By applying to cruise ship emergency supplies layout of Northeast Asia cruise port group system, using expert scoring method and AHP to evaluate cruise port security vulnerability. The NSGA-II algorithm is used to solve the multi-objective programming model. A numerical example shows that the optimization design model and method are valid and feasible, and the algorithm is efficient for solving the above collaborative location and allocation problem of sectional reserves, which can also offer a variety of decision-making options.



    加载中


    [1] CLIA, 2019 Cruise Trends and Industry Outlook. Cruise Lines International Association, Washington, 2021. Available from: https://cruising.org/news-and-research/research/2018/december/2019-state-of-the-industry.
    [2] J. W. Jeon, O. Duru, G. T. Yeo, Cruise port centrality and spatial patterns of cruise shipping in the Asian market, Marit. Policy Manage., 46 (2019), 257-276. https://doi.org/10.1080/03088839.2019.1570370 doi: 10.1080/03088839.2019.1570370
    [3] D. Vukonic, T. Bielic, A. Russo, Organizational factors in management of "Mega Cruise ships" from crowd management control aspect, Sci. J. Marit. Res., 30 (2016), 58-66. https://doi.org/10.31217/p.30.1.8 doi: 10.31217/p.30.1.8
    [4] J. P. Mileski, G. Wang, L. L. Beacham, Understanding the causes of recent cruise ship mishaps and disasters, Res. Transp. Bus. Manage., 13 (2014), 65-70. https://doi.org/10.1016/j.rtbm.2014.12.001 doi: 10.1016/j.rtbm.2014.12.001
    [5] A. A. Papachristou, A. A. Pallis, G. K. Vaggelas, Cruise home-port selection criteria, Res. Transp. Bus. Manage., 45 (2022), 100584. https://doi.org/10.1016/j.rtbm.2020.100584 doi: 10.1016/j.rtbm.2020.100584
    [6] H. Li, S. Meng, H. Tong, How to control cruise ship disease risk? Inspiration from the research literature, Mar. Policy, 132 (2021), 104652. https://doi.org/10.1016/j.marpol.2021.104652 doi: 10.1016/j.marpol.2021.104652
    [7] A. A. Pallis, K. P. Arapi, A. A. Papachristou, Models of cruise ports governance, Marit. Policy Manage., 46 (2019), 630-651. https://doi.org/10.1080/03088839.2019.1590657 doi: 10.1080/03088839.2019.1590657
    [8] A. A. Pallis, A. A. Papachristou, European Cruise ports: challenges since the pre-pandemic era, Transp. Rev., 41 (2021), 352-373. https://doi.org/10.1080/01441647.2020.1857884 doi: 10.1080/01441647.2020.1857884
    [9] Critic, Cruise, Coronavirus: Which Cruise Ports Are Closed, Cruise News, 2021. Available from: https://www.cruisecritic.com/news/5097/.
    [10] L. F. Moriarty, M. M. Plucinski, B. J. Marston, E. V. Kurbatova, B. Knust, E. L. Murray, et al., Public health responses to COVID-19 outbreaks on cruise ships—worldwide, February-March 2020, Morb. Mortal. Wkly. Rep., 69 (2020), 347-352. https://doi.org/10.15585/mmwr.mm6912e3
    [11] T. L. Lee, Global health in a turbulence time: a commentary, Asian J. WTO Int'l Health L. Pol'y, 15 (2020), 27-60.
    [12] S. Véronneau, J. Roy, Global service supply chains: An empirical study of current practices and challenges of a cruise line corporation, Tourism Manage., 30 (2009), 128-139. https://doi.org/10.1016/j.tourman.2008.05.008 doi: 10.1016/j.tourman.2008.05.008
    [13] K. Wang, S. A. Wang, L. Zhen, X. B. Qu, Cruise service planning considering berth availability and decreasing marginal profit, Transp. Res. Part B Methodol., 95 (2017), 1-18. https://doi.org/10.1016/j.trb.2016.10.020 doi: 10.1016/j.trb.2016.10.020
    [14] S. Véronneau, J. Roy, RFID benefits, costs, and possibilities: The economical analysis of RFID deployment in a cruise corporation global service supply chain, Int. J. Prod. Econ., 122 (2009), 692-702. https://doi.org/10.1016/j.ijpe.2009.06.038
    [15] X. Sun, X. Feng, D. K. Gauri, The cruise industry in China-Efforts, progress and challenges, Int. J. Hospitality Manage., 42 (2014), 71-84. https://doi.org/10.1016/j.ijhm.2014.05.009 doi: 10.1016/j.ijhm.2014.05.009
    [16] J. P. Rodrigue, W. Y. G. Wang, Cruise shipping supply chains and the impacts of disruptions: The case of the Caribbean, Res. Transp. Bus. Manage., 45 (2020), 100551. https://doi.org/10.1016/j.rtbm.2020.100551 doi: 10.1016/j.rtbm.2020.100551
    [17] N. Wookjeong, S. Byeung-Hun, H. Wonhwa, Analysis of walking-speed of cruise ship passenger for effective evacuation in emergency, Medico-Legal Update, 19 (2019), 710-716. https://doi.org/10.5958/0974-1283.2019.00260.3 doi: 10.5958/0974-1283.2019.00260.3
    [18] E. H. Cramer, D. D. Slaten, A. Guerreiro, D. Robbins, A. Ganzon, Management and control of varicella on cruise ships: A collaborative approach to promoting public health, J. Travel Med., 19 (2012), 226-322. https://doi.org/10.1111/j.1708-8305.2012.00621.x doi: 10.1111/j.1708-8305.2012.00621.x
    [19] A. L. Freeland, J. G. H. Vaughan, S. N. Banerjee, G. H. J. Vaughan, Acute gastroenteritis on cruise ships-United States, 2008-2014, Morb. Mortal. Wkly. Rep., 65 (2016), 1-5. https://doi.org/10.15585/mmwr.mm6501a1 doi: 10.15585/mmwr.mm6501a1
    [20] J. P. Mileski, J. Honeycutt, Flexibility in maritime assets and pooling strategies: A viable response to disaster, Mar. Policy, 40 (2013), 111-116. https://doi.org/10.1016/j.marpol.2012.12.039 doi: 10.1016/j.marpol.2012.12.039
    [21] H. Zhang, Q. W. Wang, J. H. Chen, N. Rangel-Buitrago, Y. Q. Shu, Cruise tourism in the context of COVID-19: Dilemmas and solutions, Ocean Coastal Manage., 228 (2022), 106321. https://doi.org/10.1016/j.ocecoaman.2022.106321 doi: 10.1016/j.ocecoaman.2022.106321
    [22] H. Ito, S. Hanaoka, T. Kawasaki, The cruise industry and the COVID-19 outbreak, Transp. Res. Interdiscip. Perspect., 5 (2020), 100136. https://doi.org/10.1016/j.trip.2020.100136 doi: 10.1016/j.trip.2020.100136
    [23] S. Q. Sun, L. L. Zhao, Legal issues and challenges in addressing the coronavirus outbreak on large cruise ships: A critical examination of port state measures, Ocean Coastal Manage., 217 (2022), 105995. https://doi.org/10.1016/j.ocecoaman.2021.105995 doi: 10.1016/j.ocecoaman.2021.105995
    [24] D. L. Bakuli, J. M. Smith, Resource allocation in state-dependent emergency evacuation networks, Eur. J. Oper. Res., 89 (1996), 543-555. https://doi.org/10.1016/0377-2217(94)00230-4 doi: 10.1016/0377-2217(94)00230-4
    [25] G. H. Tzeng, H. J. Cheng, T. D. Huang, Multi-objective optimal planning for designing relief delivery systems, Transp. Res. Part E Logist. Transp. Rev., 43 (2007), 673-686. https://doi.org/10.1016/j.tre.2006.10.012 doi: 10.1016/j.tre.2006.10.012
    [26] H. O. Mete, Z. B. Zabinsky, Stochastic optimization of medical supply location and distribution in disaster management, Int. J. Prod. Econ., 126 (2010), 76-84. https://doi.org/10.1016/j.ijpe.2009.10.004 doi: 10.1016/j.ijpe.2009.10.004
    [27] B. Behrooz, P. Ekambaram, A. Babak, Bi-objective multi-resource scheduling problem for emergency relief operations, Prod. Plann. Control, 29 (2018), 1191-1206. https://doi.org/10.1080/09537287.2018.1542026 doi: 10.1080/09537287.2018.1542026
    [28] Z. Ghaffari, M. M. Nasiri, A. Bozorgi-Amiri, A. Rahbari, Emergency supply chain scheduling problem with multiple resources in disaster relief operations, Transportmetrica A: Transport Sci., 16 (2020), 930-956. https://doi.org/10.1080/23249935.2020.1720858 doi: 10.1080/23249935.2020.1720858
    [29] V. K. Manupati, T. Schoenherr, S. M. Wagner, B. Soni, S. Panigrahi, M. Ramkumar, Convalescent plasma bank facility location-allocation problem for COVID-19, Transp. Res. Part E Logist. Transp. Rev., 156 (2021), 102517. https://doi.org/10.1016/j.tre.2021.102517 doi: 10.1016/j.tre.2021.102517
    [30] N. Ghaffarinasab, B. Y. Kara, A conditional β-mean approach to risk-averse stochastic multiple allocation hub location problems, Transp. Res. Part E Logist. Transp. Rev., 158 (2022). https://doi.org/10.1016/j.tre.2021.102602
    [31] M. Besiou, A. J. Pedraza-Martinez, L. N. V. Wassenhove, Vehicle supply chains in humanitarian operations: decentralization, operational mix, and earmarked funding, Prod. Oper. Manage., 23 (2014), 1950-1965. https://doi.org/10.1111/poms.12215 doi: 10.1111/poms.12215
    [32] A. Maghsoudi, S. Zailani, T. Ramayah, A. Pazirandeh, Coordination of efforts in disaster relief supply chains: the moderating role of resource scarcity and redundancy, Int. J. Logist. Res. Appl., 21 (2018), 407-430. https://doi.org/10.1080/13675567.2018.1437894 doi: 10.1080/13675567.2018.1437894
    [33] D. Ritam, B. Moumita, G. Kripabandhu, G. Saptarshi, Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities. Inf. Process. Manage., 56 (2019), 1680-1697. https://doi.org/10.1016/j.ipm.2019.05.010 doi: 10.1016/j.ipm.2019.05.010
    [34] T. B. Seybolt, Harmonizing the humanitarian aid network: Adaptive change in a complex system, Int. Stud. Q., 53 (2009), 1027-1050. https://doi.org/10.1111/j.1468-2478.2009.00567.x doi: 10.1111/j.1468-2478.2009.00567.x
    [35] G. Fenton, N, Altay, Relief supply chain management for disasters: humanitarian aid and emergency logistics, in Journal of Humanitarian Logistics and Supply Chain Management, Emerald Group Publishing Limited, (2012), 112-115. https://doi.org/10.1108/20426741211260769
    [36] C. Takeshi, A. Shinichi, K. Takeshi, Research on method of human error analysis using 4M4E, JR East Tech. Rev., 2003 (2003), 59-65.
    [37] W. Mutmainnah, M. Furusho, The 4M overturned pyramid (MOP) model in maritime traffic system for safety at sea, Navigation, 191(2015), 14-15. https://doi.org/10.18949/jinnavi.191.0_14 doi: 10.18949/jinnavi.191.0_14
    [38] A. B. Sulistiyono, M. Furusho, Improvement of maritime tourism towards indonesia's global maritime fulcrum, Navigation, 199 (2017), 21-22. https://doi.org/10.18949/jinnavi.199.0_21 doi: 10.18949/jinnavi.199.0_21
    [39] K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput., 6 (2002), 182-197. https://doi.org/10.1109/4235.996017 doi: 10.1109/4235.996017
    [40] A. Asanjarani, S. H. Dibajian, A. Mahdian, Multi-objective crashworthiness optimization of tapered thin-walled square tubes with indentations, Thin-Walled Struct., 116 (2017), 26-36. https://doi.org/10.1016/j.tws.2017.03.015 doi: 10.1016/j.tws.2017.03.015
    [41] E. G. Bekele, J. W. Nicklow, Multi-objective automatic calibration of SWAT using NSGA-II, J. Hydrol., 341 (2007), 165-176. https://doi.org/10.1016/j.jhydrol.2007.05.014 doi: 10.1016/j.jhydrol.2007.05.014
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1326) PDF downloads(91) Cited by(0)

Article outline

Figures and Tables

Figures(5)  /  Tables(13)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog