Abstract
The outbreak of coronavirus (COVID-19) has forced governments around the world to limit the movement of people and prohibit cross-countries travel or activities. However, the policymakers have been mobilizing a lot of effort to organize the transactions of essential goods and services to tackle the pandemic outcomes. These worldwide efforts indicate the importance of establishing and maintaining accurate management of logistics operations either during the current crisis or the consecutive periods. Motivated by the vital importance of logistics operations during the speedy increase of COVID-19 across the globe, this study critically investigates the existing works closely related to it. The main objective is to identify and boost the understanding of the characteristics of the logistics that play a critical role during pandemics. The collection of the literature was performed employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology. Moreover, a multilateral framework was used to classify the selected works. The findings of this study indicate that academic works have focused mostly on “post-event” (47.24%) management of logistics operations followed by the “pre-event” (32.76%) and least in the “Integrated” (20%.) methods. Moreover, the analysis of these results provided valuable insights that are discussed in detail. Furthermore, numerous key areas have been recognized that need proper attention to adjust the overall efficiency of the current logistics operations using intelligent solutions. We believe that the findings of this study would be useful to enhance the decision-makers. furthermore, maintaining efficient sustainable logistics systems during and after a crisis remains essential.
Similar content being viewed by others
References
Aaby, K., et al.: Montgomery County’s public health service uses operations research to plan emergency mass dispensing and vaccination clinics. Interfaces 36(6), 569–579 (2006)
Adida, E., DeLaurentis, P.C., Lawley, M.: Hospital stockpiling for disaster planning. IIE Trans. (Institute of Industrial Engineers) 43(5), 348–362 (2011)
Adu, F.D., et al.: Live viral vaccine potency: an index for assessing the cold chain system. Public Health 110(6), 325–330 (1996)
Arinaminpathy, N., McLean, A.R.: Logistics of control for an influenza pandemic. Epidemics 1(2), 83–88 (2009). https://doi.org/10.1016/j.epidem.2009.04.001
Balicer, R.D., Huerta, M., et al.: Cost-benefit of stockpiling drugs for influenza pandemic. Emerg. Infect. Dis. 11(8), 1280–1282 (2005)
Barbera, J., et al.: Large-scale quarantine following biological terrorism in the United States. J. Am. Med. Assoc. 286(21), 2711–2717 (2001)
Beeler, M.F., et al.: Estimation and management of pandemic influenza transmission risk at mass immunization clinics. In: Proceedings of the Winter Simulation Conference (pp. 1117–1124) (2011)
Belhadi, A., et al.: Manufacturing and service supply chain resilience to the COVID-19 outbreak: lessons learned from the automobile and airline industries. Technol. Forecast. Soc. Chang. 163, 120447 (2021)
Berman, O., Gavious, A.: Location of terror response facilities: a game between state and terrorist. Eur. J. Oper. Res. 177(2), 1113–1133 (2007). https://doi.org/10.1016/j.ejor.2005.12.022
Bernstein, J.P.K., et al.: Age predicts older adults’ driving self-regulation but not dangerous driving behaviors after controlling for executive function. Gerontology (2021). https://doi.org/10.1159/000515497
Blecken, A., et al. (2010). Optimal stock relocation under uncertainty in post-disaster humanitarian operations. In: Proceedings of the 43rd Hawaii International Conference on System Sciences (pp. 1–10).
Brandeau, M.L., et al.: An ounce of prevention is worth a pound of cure: Improving communication to reduce mortality during bioterrorism responses. Am. J. Disaster Med. 3(2), 65–78 (2008)
Bravata, D.M., et al.: Reducing mortality from anthrax bioterrorism: strategies for stockpiling and dispensing medical and pharmaceutical supplies. Biosecur. Bioterror. 4(3), 244–262 (2006)
Çemberci, M., Civelek, M.E., Canbolat, N.: The moderator effect of global competitiveness index on dimensions of logistics performance index. Procedia-Soc. Behav. Sci. 195, 1514–1524 (2015)
Chinazzi, M., Davis, J.T., et al.: The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science 368(6489), 395–400 (2020). ((in press))
Cinti, S., Chenoweth, C., Monto, A.S.: Preparing for pandemic influenza: should hospitals stockpile Oseltamivir? Infect. Control Hosp. Epidemiol. 26(11), 852–854 (2005)
Collin, N., Radiguès, X.: Vaccine production capacity for seasonal and pandemic (H1N1) 2009 influenza. Vaccine 27(38), 5184–5186 (2009)
Craft, D.L., Wein, L.M., Wilkins, A.H.: Analyzing bioterror response logistics: the case of anthrax. Manage. Sci. 51(5), 679–694 (2005)
Dato, V., Wagner, M.M., Fapohunda, A.: How outbreaks of infectious disease are detected: a review of surveillance systems and outbreaks. Public Health Rep. 119(5), 464–471 (2004)
DeLaurentis, P.C., Adida, E., Lawley, M.: Hospital stockpiling for influenza pandemics with pre-determined response levels. In: Proceedings of the IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics (pp. 37–42) (2009)
Dhankhar, P., Dasbach, E.J., Elbasha, E.H.: Economics of stockpiling for an influenza pandemic. Lancet Infect. Dis. (2009)
Dolgui, A., et al.: Reconfigurable supply chain: the X-network. Int. J. Prod. Res. 58(13), 4138–4163 (2020)
Economic_Times.: Lockdown extended in India: PM Modi extends nationwide lockdown (2021)
Economic_Times. (2020). India Lockdown news: India to be under complete lockdown for 21 days starting midnight: Narendra Modi. https://Economictimes.indiatimes.com/news/politics-and-nation/India-will-be-under-complete-lockdown-starting-midnight-narendra-modi/articleshow/74796908.cms?from=mdr
Ekici, O., et al.: Linking to compete: logistics and global competitiveness interaction. Transp. Policy 48, 117–128 (2016)
El Ouadi, J., et al.: Shared public transport within a physical internet framework: reviews, conceptualization and expected challenges under COVID-19 pandemic. IATSS Res. (2021). https://doi.org/10.1016/j.iatssr.2021.03.001
Gani, A.: The logistics performance effect in international trade. Asian J. Ship. Logist. 33(4), 279–288 (2017)
Gao, S., Peng, Z., et al.: Coordinated target tracking by multiple unmanned surface vehicles with communication delays based on a distributed event-triggered extended state observer. Ocean Eng. 227, 108283 (2021)
Gautam, S., Hens, L.: COVID-19: impact by and on the environment, health and economy. Environ. Dev. Sustain. 22(6), 4953–4954 (2020). https://doi.org/10.1007/s10668-020-00818-7
Geest, M.V., et al.: Design of a reference architecture for developing smart warehouses in Industry 4.0. Computers in Industry, volume 124, 103343 (2021)
Giovachino, M., et al.: Optimizing a District of Columbia strategic national stockpile dispensing center. J. Public Health Manag. Pract. 11(4), 282–290 (2005)
Hadler, J.: Public health strategies for distribution of influenza vaccine during an influenza pandemic. Yale J. Biol. Med. 78(5), 277–286 (2005)
Harrington, J.E., Hsu, E.B.: Stockpiling anti-viral drugs for a pandemic: the role of manufacturer reserve programs. J. Health Econ. 29(3), 438–444 (2010)
Hashikura, M., Kizu, J.: Stockpile of personal protective equipment in hospital settings: preparedness for influenza pandemics. Am. J. Infect. Control 37(9), 703–707 (2009)
Herrmann, J.W., Lu, S., Schalliol, K.: Delivery volume improvement for planning medication distribution. In: Proceedings of the International Conference on Systems, Man and Cybernetics (pp. 3505–3509) (2009)
Hessel, L.: Pandemic influenza vaccines: meeting the supply, distribution, and deployment challenges. Influenza Other Respir. Viruses 3(4), 165–170 (2009)
Ho, S., Xing, W., et al.: The impact of COVID-19 on freight transport: evidence from China. MethodsX 8, 101200 (2021)
Hoffmann, T., Prause, G.: On the regulatory framework for last-mile delivery robots. Machines 6(3), 33 (2018). https://doi.org/10.3390/machines6030033
Hofmann, H., Busse, C., Bode, C., Henke, M.: Sustainability-related supply chain risks: conceptualization and management. Bus. Strategy Environ. 23, 160–172 (2014)
Hu, J., Zhao, L.: Emergency logistics strategy in response to anthrax attacks based on system dynamics. Int. J. Math. Oper. Res. 3(5), 490–509 (2011)
Huang, R., Kim, S., Menezes, M.B.C.: Facility location for large-scale emergencies. Ann. Oper. Res. 181(1), 271–286 (2010). https://doi.org/10.1007/s10479-010-0736-8
Hui, Q.: Optimal control of bio-attack induced infectious disease dynamics: the case of anthrax. In: Proceedings of the 6th International Conference on Automation Science and Engineering (pp. 911–916) (2010)
Hupert, N., Mushlin, A.I., Callahan, M.A.: Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers. Med. Decis. Making 22(Suppl), S17–S25 (2002)
IBEF.: Industry. India Brand Equity Foundation, Ministry of Commerce & Industry, Government of India. https://www.ibef.org/industry.aspx (2020)
Illahi, U., Mir, M.S.: Development of indices for sustainability of transportation systems: a review of the state-of-the-art. Ecol. Ind. 118(June), 1–18 (2020)
Intrado: Digitization in Logistics Supply Chain Market Forecast to 2027-COVID-19 Impact and Global Analysis by Component; Organization Size; Industries. https://www.globenewswire.com/news-release/2020/09/15/2094171/0/en/Digitization-in-Logist (2020)
Ivanov, D.: Disruption tails and revival policies: a simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods. Comput. Ind. Eng. 127, 558–570 (2019)
Jin, L., Duo, B., et al.: Advanced infrastructure systems integrating hardware and software platforms. Adv Civ Eng, Article ID 6687674 (2021)
Kaplan, E.H., et al.: Analyzing bioterror response logistics: the case of smallpox. Math. Biosci. 185(1), 33–72 (2003)
Kargar, S., et al.: Reverse logistics network design for medical waste management in the epidemic outbreak of the novel coronavirus (COVID-19). Sci. Total. Environ. 746, 141183 (2020)
Karimpour, A., et al.: Effects of speed feedback signs and law enforcement on driver speed. Transport. Res. Part F: Traffic Psychol. Behav. 77, 55–72 (2021)
Kayikci, Y.: Sustainability impact of digitization in logistics. Procedia Manuf. 21, 782–789 (2018)
Ke, Y., Zhao, L.: Optimization of emergency logistics delivery model based on anti-bioterrorism. In: Proceedings of the International Conference on Industrial Engineering and Engineering Management (pp. 2077–2081) (2008)
Khan, F., Kumar, R.L., et al.: Autonomous vehicles: a study of implementation and security. Int. J. Electr. Comput. Eng. 11(4), 3013–3021 (2021)
Koomen, JM., Fenik, AP.: Impact analysis: electronic logging devices in the transportation industry. Int. J. Autom. Logist. (2021)
Krause, G., et al.: SurvNet electronic surveillance system for infectious disease outbreaks, Germany. Emerg. Infect. Dis. 13(10), 1548–1555 (2007)
Le, A.V., et al.: Towards optimal hydro-blasting in reconfigurable climbing system for corroded ship hull cleaning and maintenance. Expert Syst. Appl. 170, 114519 (2021)
Lee, E.K., Smalley, H.K., et al.: Facility location and multi-modality mass dispensing strategies and emergency response for biodefence and infectious disease outbreaks. Int. J. Risk Assess. Manag. 12(2–4), 311–351 (2009)
Lee, V.J., Kai, H.P., et al.: Economics of neuraminidase inhibitor stockpiling for pandemic influenza, Singapore. Emerg. Infect. Dis. 12(1), 95–102 (2006)
Lee, Y.M., Ghosh, S., Ettl, M.: Simulating distribution of emergency relief supplies for disaster response operations. In: Proceedings of the Winter Simulation Conference (pp. 2797–2808) (2009)
Liberati, A., Altman, D., Tetzlaff, J., Mulrow, C., Gotzsche, P.C., Ioannidis, P.A., et al.: The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. PLoS Med. 6(7), 1000100 (2009)
Lin, C.Y., Ho, Y.H.: RFID technology adoption and supply chain performance: an empirical study in China’s logistics industry. Supply Chain Manag. 14(5), 369–378 (2009)
Liu, J., Yuan, C., Hafeez, M., Yuan, Q.: The relationship between environment and logistics performance: evidence from Asian countries. J. Clean. Prod. 204, 282–291 (2018)
Liu, M., Zhao, L.: Optimization of the emergency materials distribution network with time windows in anti-bioterrorism system. Int. J. Innov. Comput. Inf. Control 5(11A), 3615–3624 (2009)
Liu, M., Zhao, L., Sebastian, H.J.: Mixed-collaborative distribution mode for emergency resources in an anti-bioterrorism system. Int. J. Math. Oper. Res. 3(2), 148–169 (2011)
Liu, W., Liang, Y., et al.: China’s logistics development trends in the post-COVID-19 era. Int. J. Logist. Res. Appl. (pp. 1–12) (2020)
Liu, Y.: Mathematical models of vaccine inventory design for a breakout of epidemic disease. In: Proceedings in Applied Mathematics and Mechanics (Vol. 7, pp. 2150013–2150014) (2007)
Lugnér, A.K., Postma, M.J.: Investment decisions in influenza pandemic contingency planning: cost-effectiveness of stockpiling antiviral drugs. Eur. J. Pub. Health 19(5), 1–5 (2009)
Masudin, I., Safitri, N.T.: Food cold chain in indonesia during the Covid-19 pandemic: a current situation and mitigation. J. Rekayasa Sistem Ind. 9, 99–106 (2020)
Miller, G., Randolph, S., Patterson, J.E.: Responding to bioterrorist smallpox in San Antonio. Interfaces 36(6), 580–590 (2006). https://doi.org/10.1287/inte.1060.0228
Moldabekova, A., Philipp, R., Satybaldin, A.A., Prause, G.: Technological readiness and innovation as drivers for logistics 4.0. J. Asian Finance Econ. Bus. 8(1), 145–156 (2021). https://doi.org/10.13106/jafeb.2021.vol8.no1.145
Moore, P.S., et al.: Surveillance and control of meningococcal meningitis epidemics in refugee populations. Bull. World Health Organ. 68(5), 587–596 (1990)
Muangmee, C., et al.: Factors determining the behavioral intention of using food delivery apps during COVID-19 pandemics. J. Theor. Appl. Electron. Commer. Res. 16(5), 1297–1310 (2021)
Murali, P., Ordóñez, F., Dessouky, M.M.: Facility location under demand uncertainty: response to a large-scale bio-terror attack. Socio-Econ. Plan. Sci. 46(1), 78–87 (2012). https://doi.org/10.1016/j.seps.2011.09.001
Özdağoğlu, A., Bahar, S.: Logistics 4.0 and Smart Supply Chain Management. Yakut, E. (Ed.) Industry 4.0 and Global Businesses, Emerald Publishing Limited, Bingley, pp. 163–183. https://doi.org/10.1108/978-1-80117-326-120211012 (2022)
Patvivatsiri, L., Montes, E.J., Xi, O.: Modeling bioterrorism preparedness with simulation in rural healthcare system. In: Proceedings of the Winter Simulation Conference (pp. 1155–1160) (2007)
Philipp, R., Prause, G., Gerlitz, L.: Blockchain and smart contracts for entrepreneurial collaboration in maritime supply chains. Transport Telecommun. J. 20(4), 365–378 (2019)
Philipp, R., Prause, G., Meyer, C.: Blue growth potential in south Baltic Sea region. Transport Telecommun. J. 21(1), 69–83 (2020)
Porco, T.C., Holbrook, K., et al.: Logistics of community smallpox control through contact tracing and ring vaccination: a stochastic network model. BMC Public Health 4(34), 1–20 (2004)
Porter, R.M., et al.: Does having a seasonal influenza program facilitate pandemic preparedness? An analysis of vaccine deployment during the 2009 pandemic. Vaccine 38(5), 1152–1159 (2020)
Radonovich, L.J., Magalian, P.D., et al.: Stockpiling supplies for the next influenza pandemic. Emerg. Infect. Dis. (vol. 15) (2009)
Rebmann, T., Citarella, B., et al.: Personal protective equipment use and allocation in home health during disasters. Am. J. Infect. Control 39(10), 823–831 (2011)
Richter, A., Khan, S.: Pilot model: judging alternate modes of dispensing prophylaxis in Los Angeles County. Interfaces 39(3), 228–240 (2009)
Rodnichenko, E.K., et al.: Augmented Reality Techniques in Industrial Warehouse Logistics in Mining Industry, IOP Conference Series: Earth Environmental Science 688, 012008 (2021)
Rottkemper, B., Fischer, K., Blecken, A.: A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations. Socioecon. Plan. Sci. 46(1), 98–109 (2012)
Roushangar, K., et al.: A comparative study of wavelet and empirical mode decomposition-based GPR models for river discharge relationship modeling at consecutive hydrometric stations.Water Supply ws2021073 (2021)
Shao, X., Shi, Y., et al.: Prescribed fast tracking control for flexible air-breathing hypersonic vehicles: an event-triggered case. Chin. J. Aeronaut. https://doi.org/10.1016/j.cja.2021.03.019 (2021)
Shen, Z., Dessouky, M.M., Ordóñez, F.: A two-stage vehicle routing model for large-scale bioterrorism emergencies. Networks 54(4), 255–269 (2009)
Siddiqui, M.R., Edmunds, W.J.: Cost-effectiveness of antiviral stockpiling and near-patient testing for potential influenza pandemic. Emerg. Infect. Dis. 14(2), 267–274 (2008)
Silal, S.P.: Operational research: a multidisciplinary approach for the management of infectious disease in a global context. Eur. J. Oper. Res. (in press). https://doi.org/10.1016/j.ejor.2020.07.037 (2020)
Singh, S., et al.: Enhancing supply chain resilience using ontology-based decision support system. Int. J. Comput. Integr. Manuf. 32(7), 642–657 (2019)
Srinivas, S.S., Marathe, R.R.: Moving towards “mobile warehouse”: last-mile logistics during COVID-19 and beyond. Transport. Res Interdiscip. Perspect. 10, 100339 (2021)
Sumiati, S.: Improving small business performance: the role of entrepreneurial intensity and innovation. J. Asian Finance Econ. Bus. 7(10), 211–218 (2020)
Tardivo, A., et al.: Covid-19 impact on transport: a paper from the railways’ systems research perspective. Transport. Res. Record, (p. 0361198121990674) (2021)
Tebbens, R.J.D., Pallansch, M.A., et al.: Optimal vaccine stockpile design for an eradicated disease: application to polio. Vaccine 28(26), 4312–4327 (2010)
Teleroute: How IoT can help the transport sector in managing the coronavirus crisis. https://teleroute.com/en-en/blog/article/howiot-can-help-the-transport-sector-in-managing-thecorona-crisis (2020)
Tsang, Y., Wu, C., et al.: Integrating internet of things and multi-temperature delivery planning for perishable food e-commerce logistics: a model and application. Int. J. Prod. Res. (pp. 1–23) (2020)
Tumpey, T.M., Basler, C.F., Aguilar, P.V., et al.: Characterization of the reconstructed 1918 Spanish influenza pandemic virus. Science 310(October), 77–80 (2005)
Umair, M., Cheema, M.A., Cheema, O., Li, H., Lu, H.: Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities. Transport. Ind. IoT. Sens. 21, 3838 (2021). https://doi.org/10.3390/s21113838
Wang, H., Wang, X., Zeng, A.Z.: Optimal material distribution decisions based on epidemic diffusion rule and stochastic latent period for emergency rescue. Int. J. Math. Oper. Res. 1(1/2), 76–96 (2009)
Wang, X., Le, X., Lu, Q.: Analysis of china’s smart city upgrade and smart logistics development under the COVID-19 epidemic. J. Phys.: Conf. Ser. (2020)
Wang, Z., Yang, S., et al.: Cloud-based mission control of USV fleet: architecture, implementation, and experiments. Control. Eng. Pract. 106, 104657 (2021)
Webb, W.: "The Smart City and COVID-19", Whalley, J., Stocker, V. and Lehr, W. (Ed.) Beyond the Pandemic? Exploring the Impact of COVID-19 on Telecommunications and the Internet, Emerald Publishing Limited, Bingley, pp. 121–133. https://doi.org/10.1108/978-1-80262-049-820231005 (2023)
Whitworth, M.H.: Designing the response to an anthrax attack. Interfaces 36(6), 562–568 (2006). https://doi.org/10.1287/inte.1060.0241
WHO.: Pandemic (H1N1) 2009 update 102. World Health Organization (WHO). https : //www.who.int/csr/don/2010_05_28/en/ (2010)
WHO. Coronavirus disease 2019 (COVID-19) Situation Report–86 (2020c)
Wu, W., Zhao, F., et al.: Experimental investigation of a real-time monitoring system for cold chain logistics. In: International Conference on Automation Science and Engineering (CASE) (pp. 1201–1206) (2020)
Wygal, A., Voss, D., et al.: Assessing causes of driver job dissatisfaction in the flatbed motor carrier industry. Logistics 5(2), 34 (2021)
XPO Logistics: XPO Logistics Manages COVID-19 Surge in Last Mile Demand with New XPO Connect Capabilities. https://www.globenewswire.com/news-release/2020/08/05/2073137/0/en/XPO-Logistics-Manages-COVID-19-Surge-inLast-Mile-Demand-with-New-XPO-Connect-Capabilities.html (2020)
Yıldızbaşı, A., Öztürk, C., et al.: Assessing the social sustainable supply chain indicators using an integrated fuzzy multi-criteria decision-making methods: a case study of Turkey. Environ. Dev. Sustain. (2020)
Zaric, G.S., et al.: Modeling the logistics of response to anthrax bioterrorism. Med. Decis. Making 28(3), 332–350 (2008)
Zerang, E.S., et al.: Analytical comparisons in a three-echelon closed-loop supply chain with price and marketing effort-dependent demand: game theory approaches. Environ. Dev. Sustain. 20, 451–478 (2018)
Zhao, L., Sun, L.: Emergency service modes of supply chains with replenishment sources. In: Proceedings of the 5th International Conference on Service Systems and Service Management-Exploring Service Dynamics with Science and Innovative Technology (2008)
Zhou, C., et al.: COVID-19: challenges to GIS with big data. Geogr. Sustain. 1, 77–87 (2020)
Author information
Authors and Affiliations
Contributions
They have checked and approved the final version of the submitted manuscript.
Corresponding author
Ethics declarations
Conflict of interest
They do not have any conflict of interest
Ethics approval
The used data in this study are collected online and have been approved and performed following ethical standards.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Allioui, H., Allioui, A. & Mourdi, Y. Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies. OPSEARCH (2024). https://doi.org/10.1007/s12597-023-00728-y
Accepted:
Published:
DOI: https://doi.org/10.1007/s12597-023-00728-y