Cold Chain Resilience Across Humanitarian and Resource-Constrained Settings: A Hybrid Simulation Framework
DOI:
https://doi.org/10.59490/jscms.2026.8437Keywords:
Cold chain resilience, Humanitarian logistics, Hybrid simulation, Power reliability, Vaccine cold storageAbstract
Cold chain systems are critical for preserving vaccines and other temperature-sensitive medicines, yet in fragile, resource-constrained, and crisis-affected settings, they are frequently exposed to power instability, damaged infrastructure, and extreme environmental conditions. Existing modeling approaches often emphasize supply flows while underrepresenting the interaction of thermal, logistical, and operational stressors that shape cold-chain behavior under disruption. This study introduces a hybrid simulation framework that integrates physics-based refrigeration dynamics, power availability, logistics processes, agent-driven operations, stochastic disruptions, and temperature-dependent spoilage evaluation. The framework is applied to four illustrative contexts representing heterogeneous conditions: a conflict-affected Gaza setting, a rural conflict-affected Sudan setting, a high-altitude Nepal setting, and a post-earthquake Haiti setting. Across the modeled scenarios, clinics consistently exhibited larger temperature fluctuations than depots and warehouses, while power instability emerged as a dominant contributor to thermal risk. Intervention effects varied by context; measures targeting energy availability and infrastructure generally influenced outcomes more strongly than isolated equipment upgrades. In some cases, equipment upgrades implemented without corresponding energy reinforcement increased power demand, leading to greater downtime and temperature excursions than the baseline configuration. Overall, the results indicate that cold-chain behavior under disruption is shaped by interactions among environmental, infrastructural, and operational factors rather than by equipment performance alone. The framework enables systematic exploration of these interactions and comparative analysis of cold-chain behavior across humanitarian settings.
References
Ahmadi, M., Seifi, A., & Tootooni, B. (2015). A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district. Transportation Research Part E: Logistics and Transportation Review, 75, 145–163. https://doi.org/10.1016/j.tre.2015.01.008
AKCP. (2021). Preventing cold chain failures using remote monitoring systems. https://www.environmental-expert.com/articles/preventing-cold-chain-failures-using-remote-monitoring-systems-1012416
Ayowole, D. J., Adebajo, G. O., Lasisi, T. O., & Bakai, J. G. (2025). Effects of climate change on vaccine storage and cold chain logistics: a qualitative study in Ogun State, Nigeria. BMJ Global Health, 10(7), e018990. https://doi.org/10.1136/bmjgh-2025-018990
Azevedo, I. M. L. (2014). Consumer End-Use Energy Efficiency and Rebound Effects. Annual Review of Environment and Resources, 39(1), 393–418. https://doi.org/10.1146/annurev-environ-021913-153558
Bahinipati, C. S., Sirohi, R. A., & Rao, S. S. (2022). Technological Innovations, Behavioural Interventions, and Household Energy Conservation. Ecology, Economy and Society–the INSEE Journal, 5(1). https://doi.org/10.37773/ees.v5i1.530
Bajrovic, I., & Croyle, M. A. (2023). Challenges in vaccine transport: can we deliver without the cold chain? Expert Review of Vaccines, 22(1), 933–936. https://doi.org/10.1080/14760584.2023.2273901
Billah, M. M., Zaman, K., Estivariz, C. F., Snider, C. J., Anand, A., Hampton, L. M., Bari, T. I. A., Russell, K. L., & Chai, S. J. (2016). Cold-Chain adaptability during introduction of inactivated polio vaccine in Bangladesh, 2015. The Journal of Infectious Diseases, 216(suppl_1), S114–S121. https://doi.org/10.1093/infdis/jiw591
Bruneau, M., & Reinhorn, A. (2006). Overview of the resilience concept. https://www.eng.buffalo.edu/~bruneau/8NCEE-Bruneau%20Reinhorn%20Resilience.pdf
Campa, C., Pronce, T., Paludi, M., Weusten, J., Conway, L., Savery, J., Richards, C., & Clénet, D. (2021). Use of stability modeling to support accelerated vaccine development and supply. Vaccines, 9(10), 1114. https://doi.org/10.3390/vaccines9101114
Centers for Disease Control and Prevention. (2024). Vaccine storage and handling. https://www.cdc.gov/vaccines/hcp/storage-handling/index.html
Chandan, V., Do, A.-T., Jin, B., Jabbari, F., Brouwer, J., Akrotirianakis, I., Chakraborty, A., & Alleyne, A. (2012). Modeling and optimization of a combined cooling, heating and power plant system. 2012 American Control Conference (ACC), 3069–3074. https://doi.org/10.1109/ACC.2012.6315606
Chen, Y., Chen, M., & Hu, T. (2025). Designing a sustainable-resilient vaccine cold chain network in uncertain environments. Computers & Chemical Engineering, 194, 108936. https://doi.org/10.1016/j.compchemeng.2024.108936
Chukwuka, O. J., Ren, J., Wang, J., & Paraskevadakis, D. (2024). Managing risk in emergency supply chains – An empirical study. International Journal of Logistics Research and Applications, 28(9), 1072–1108. https://doi.org/10.1080/13675567.2024.2359645
Clénet, D. (2018). Accurate prediction of vaccine stability under real storage conditions and during temperature excursions. European Journal of Pharmaceutics and Biopharmaceutics, 125, 76–84. https://doi.org/10.1016/j.ejpb.2018.01.005
Comes, T., Sandvik, K. B., & Van De Walle, B. (2018). Cold chains, interrupted. Journal of Humanitarian Logistics and Supply Chain Management, 8(1), 49–69. https://doi.org/10.1108/jhlscm-03-2017-0006
De Luca, G., Lampoltshammer, T. J., Parven, S., & Scholz, J. (2022). A literature review on the usage of Agent-Based Modelling to study policies for managing international migration. Social Sciences, 11(8), 356. https://doi.org/10.3390/socsci11080356
Fahrni, M. L., Ismail, I. A.-N., Refi, D. M., Almeman, A., Yaakob, N. C., Saman, K. M., Mansor, N. F., Noordin, N., & Babar, Z.-U.-D. (2022). Management of COVID-19 vaccines cold chain logistics: a scoping review. Journal of Pharmaceutical Policy and Practice, 15(1), 16. https://doi.org/10.1186/s40545-022-00411-5
Fan, Y., de Kleuver, C., de Leeuw, S., & Behdani, B. (2021). Trading off cost, emission, and quality in cold chain design: A simulation approach. Computers & Industrial Engineering, 158, 107442. https://doi.org/10.1016/j.cie.2021.107442
Faria, M., Palhares, L. A. M., Souza, D. A., & Lopes, R. B. (2022). What would be representative temperatures for shelf-life studies with biopesticides in tropical countries? Estimates through long-term storage of biocontrol fungi and calculation of mean kinetic temperatures. BioControl, 67(2), 213–224. https://doi.org/10.1007/s10526-021-10126-2
Feyisa, D., Jemal, A., Aferu, T., Ejeta, F., & Endeshaw, A. (2021). Evaluation of Cold Chain Management Performance for Temperature-Sensitive Pharmaceuticals at Public Health Facilities Supplied by the Jimma Pharmaceuticals Supply Agency Hub, Southwest Ethiopia: Pharmaceuticals Logistic Management Perspective Using a Multicentered, Mixed-Method Approach. Advances in Pharmacological and Pharmaceutical Sciences, 2021, 1–13. https://doi.org/10.1155/2021/5167858
Gillingham, K., Rapson, D., & Wagner, G. (2016). The Rebound Effect and Energy Efficiency Policy. Review of Environmental Economics and Policy, 10(1), 68–88. https://doi.org/10.1093/reep/rev017
Gligor, D., Tan, A., & Nguyen, T. N. T. (2018). The obstacles to cold chain implementation in developing countries: insights from Vietnam. The International Journal of Logistics Management, 29(3), 942–958. https://doi.org/10.1108/ijlm-02-2017-0026
Goebel, A. (2024, December 3). The importance of the cold chain in the pharma industry. Advanco. https://www.advanco.com/article/the-importance-of-the-cold-chain-in-the-pharma-industry/
Goodarzian, F., Navaei, A., Ehsani, B., Ghasemi, P., & Muñuzuri, J. (2023). Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions. Annals of Operations Research, 328(1), 531–575. https://doi.org/10.1007/s10479-022-04713-4
Haidari, L. A., Connor, D. L., Wateska, A. R., Brown, S. T., Mueller, L. E., Norman, B. A., Schmitz, M. M., Paul, P., Rajgopal, J., Welling, J. S., Leonard, J., Chen, S.-I., & Lee, B. Y. (2013a). Augmenting Transport versus Increasing Cold Storage to Improve Vaccine Supply Chains. PLoS ONE, 8(5), e64303. https://doi.org/10.1371/journal.pone.0064303
Haidari, L. A., Connor, D. L., Wateska, A. R., Brown, S. T., Mueller, L. E., Norman, B. A., Schmitz, M. M., Paul, P., Rajgopal, J., Welling, J. S., Leonard, J., Claypool, E. G., Weng, Y.-T., Chen, S.-I., & Lee, B. Y. (2013b). Only Adding Stationary Storage to Vaccine Supply Chains May Create and Worsen Transport Bottlenecks. Journal of Public Health Management and Practice, 19(Supplement 2), S65–S67. https://doi.org/10.1097/PHH.0b013e31828a83fe
Haidari, L. A., Brown, S. T., Wedlock, P., Connor, D. L., Spiker, M., & Lee, B. Y. (2017). When are solar refrigerators less costly than on-grid refrigerators: A simulation modeling study. Vaccine, 35(17), 2224–2228. https://doi.org/10.1016/j.vaccine.2016.11.103
Hay, M., Teichert, A., Kilz, S., & Vosen, A. (2025). Resilience in the Vaccine Supply Chain: Learning from the COVID-19 Pandemic. Vaccines, 13(2), 142. https://doi.org/10.3390/vaccines13020142
Hemmeda, L., Ahmed, A. S., & Omer, M. (2023). Sudan’s armed rivalry: A comment on the vulnerable healthcare system catastrophe. Health Science Reports, 6(8). https://doi.org/10.1002/hsr2.1517
Hemmeda, L., Tiwari, A., Kolawole, B. O., Ayoobkhan, F. S., Fatima, K., Shabani, M. M., Kundu, M., Anugu, N. R., Richard, R. M., Ibrahim, D., & Ahmed, K. A. H. M. (2024). The critical pharmaceutical situation in Sudan 2023: A humanitarian catastrophe of civil war. International Journal for Equity in Health, 23(1). https://doi.org/10.1186/s12939-024-02103-9
Human Rights Watch. (2024). Israel and Palestine: Events of 2023. https://www.hrw.org/world-report/2024/country-chapters/israel-and-palestine
Işık, E. E., & Yildiz, S. T. (2023). Optimizing the COVID-19 cold chain vaccine distribution network with medical waste management: A robust optimization approach. Expert Systems with Applications, 229, 120510. https://doi.org/10.1016/j.eswa.2023.120510
Jaelani, I., Harsanto, B., Azis, Y., Sari, D., & Kaltum, U. (2025). Cold chain logistics challenges on sustainability: A systematic review. Sustainable Futures, 10, 101559. https://doi.org/10.1016/j.sftr.2025.101559
Jenkins, D., Cancel, A., & Layloff, T. (2022). Mean kinetic temperature evaluations through simulated temperature excursions and risk assessment with oral dosage usage for health programs. BMC Public Health, 22(1). https://doi.org/10.1186/s12889-022-12660-9
De Boeck, K., Decouttere, C., & Vandaele, N. (2018). Vaccine distribution supply chains in developing countries: A literature review. Ideas.Repec.Org. https://ideas.repec.org/p/ete/kbiper/629348.html
Kamran, M. A., Kia, R., Goodarzian, F., & Ghasemi, P. (2023). A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms. Socio-Economic Planning Sciences, 85, 101378. https://doi.org/10.1016/j.seps.2022.101378
Kargar, B., MohajerAnsari, P., Büyüktahtakın, İ. E., Jahani, H., & Talluri, S. (2024). Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study. Transportation Research Part E Logistics and Transportation Review, 184, 103494. https://doi.org/10.1016/j.tre.2024.103494
Khalilpoor, S., Kamran, M. A., & Solimanpur, M. (2025). Resilient COVID-19 vaccine supply chain: An optimization and simulation approach for multi-objective management. Transportation Research Part E Logistics and Transportation Review, 201, 104168. https://doi.org/10.1016/j.tre.2025.104168
Khodaee, V., Kayvanfar, V., & Haji, A. (2022). A humanitarian cold supply chain distribution model with equity consideration: The case of COVID-19 vaccine distribution in the European Union. Decision Analytics Journal, 4, 100126. https://doi.org/10.1016/j.dajour.2022.100126
Kim, J. J., Jang, H., & Roh, S. (2022). A systematic literature review on humanitarian logistics using network analysis and topic modeling. The Asian Journal of Shipping and Logistics, 38(4), 263–278. https://doi.org/10.1016/j.ajsl.2022.10.003
Kruczkiewicz, A., Klopp, J., Fisher, J., Mason, S., McClain, S., Sheekh, N. M., Moss, R., Parks, R. M., & Braneon, C. (2021). Compound risks and complex emergencies require new approaches to preparedness. Proceedings of the National Academy of Sciences, 118(19). https://doi.org/10.1073/pnas.2106795118
Kruk, M. E., Myers, M., Varpilah, S. T., & Dahn, B. T. (2015). What is a resilient health system? Lessons from Ebola. The Lancet, 385(9980), 1910–1912. https://doi.org/10.1016/s0140-6736(15)60755-3
Lee, B. Y., Haidari, L. A., Prosser, W., Connor, D. L., Bechtel, R., Dipuve, A., Kassim, H., Khanlawia, B., & Brown, S. T. (2016). Re-designing the Mozambique vaccine supply chain to improve access to vaccines. Vaccine, 34(41), 4998–5004. https://doi.org/10.1016/j.vaccine.2016.08.036
Li, F., Tao, J., Wang, Q., Guo, W., Wang, X., Wang, B., Su, H., Cheng, Z., Yan, B., & Chen, G. (2025). Simulation and optimization of cold chain logistics system towards lower carbon emission: a state-of-the-art review. Carbon Research, 4(1), 22. https://doi.org/10.1007/s44246-024-00191-4
Linkov, I., Eisenberg, D. A., Plourde, K., Seager, T. P., Allen, J., & Kott, A. (2013). Resilience metrics for cyber systems. Environment Systems & Decisions, 33(4), 471–476. https://doi.org/10.1007/s10669-013-9485-y
Manupati, V. K., Schoenherr, T., Subramanian, N., Ramkumar, M., Soni, B., & Panigrahi, S. (2021). A multi-echelon dynamic cold chain for managing vaccine distribution. Transportation Research Part E: Logistics and Transportation Review, 156, 102542. https://doi.org/10.1016/j.tre.2021.102542
Marchi, B., & Zanoni, S. (2022). Cold Chain Energy Analysis for Sustainable Food and Beverage Supply. Sustainability, 14(18), 11137. https://doi.org/10.3390/su141811137
Médecins Sans Frontières. (2025). Mali: Disruptions to fuel supplies impact MSF medical activities. https://www.msf.org/mali-disruptions-fuel-supplies-impact-msf-medical-activities
Medicine Quality Research Group (2021). Medical Product Quality Report – COVID-19 issues. Issue 14, Data from October, November & December 2021. Medicine Quality Research Group, University of Oxford. https://www.iddo.org/document/medical-product-quality-report-covid-19-issues-issue-14-april-2022-data-october-december
Mirai Intex. (2024). Pharma cold chain: pharmaceutical cold storage, managment and logstics. https://mirai-intex.com/blog/cold-chain-in-the-pharmaceutical-industry-ensuring-safe-and-effective-medications
Miura, E. (2024). Use of Mean Kinetic Temperature for Pharmaceuticals in Japan and Stability Monitoring in the 21st Century. Therapeutic Innovation & Regulatory Science, 58(1), 184–191. https://doi.org/10.1007/s43441-023-00584-4
Mohammed, A., James, P., & Bahaj, A. (2025). Electricity access linkages to sustainable development goals in rural Sudan. Sustainability, 17(6), 2441. https://doi.org/10.3390/su17062441
Mueller, L. E., Haidari, L. A., Wateska, A. R., Phillips, R. J., Schmitz, M. M., Connor, D. L., Norman, B. A., Brown, S. T., Welling, J. S., & Lee, B. Y. (2016). The impact of implementing a demand forecasting system into a low-income country’s supply chain. Vaccine, 34(32), 3663–3669. https://doi.org/10.1016/j.vaccine.2016.05.027
Nepal Electricity Authority. (2025). Annual report 2024/2025. https://www.nea.org.np/admin/assets/uploads/supportive_docs/89899842.pdf
Ng, C. Z., Lean, Y. L., Yeoh, S. F., Lean, Q. Y., Lee, K. S., Suleiman, A. K., Liew, K. Bin, Kassab, Y. W., Al-Worafi, Y. M., & Ming, L. C. (2020). Cold chain time- and temperature-controlled transport of vaccines: a simulated experimental study. Clinical and Experimental Vaccine Research, 9(1), 8. https://doi.org/10.7774/cevr.2020.9.1.8
OCHA. (n.d.). Electricity in the Gaza Strip | United Nations Office for the Coordination of Humanitarian Affairs - Occupied Palestinian Territory. Retrieved https://www.ochaopt.org/page/gaza-strip-electricity-supply
OCHA. (2023). Occupied Palestinian Territory (FA) 2023 Flash Appeal: from 01/10/2023 to 31/12/2023. https://humanitarianaction.info/plan/1186/article/opt-fa-2023
OCHA. (2025a). Humanitarian situation Update #300: Gaza Strip. https://www.ochaopt.org/content/humanitarian-situation-update-300-gaza-strip
OCHA. (2025b). Humanitarian Situation Update #326 | Gaza Strip. https://www.unocha.org/publications/report/occupied-palestinian-territory/humanitarian-situation-update-326-gaza-strip
Pradeep, P., Viral, S., Naresh, M., & Dipesh, P. (2021). Structure and process evaluation of cold chain management and routine immunization services in rural western Gujarat. Journal of Basic and Applied Research in Biomedicine, 6(2), 70–74. https://doi.org/10.51152/jbarbiomed.v6i2.16
Quispe, M. F. C., Couto, A. S., De Brito Junior, I., Cunha, L. R. A., Siqueira, R. M., & Yoshizaki, H. T. Y. (2024). Humanitarian Logistics Prioritization Models: A Systematic Literature Review. Logistics, 8(2), 60. https://doi.org/10.3390/logistics8020060
Rao, S., Naftar, S., Baliga, S., & Unnikrishnana, B. (2012). Evaluation, awareness, practice and management of cold chain at the primary health care centers in coastal South India. Journal of Nepal Paediatric Society, 32(1), 19–22. https://doi.org/10.3126/jnps.v32i1.5946
Reuters. (2025). Humanitarian operation in Myanmar hindered by damaged roads and infrastructure, says UN agency. https://www.reuters.com/business/environment/humanitarian-operation-myanmar-hindered-by-damaged-roads-infrastructure-says-un-2025-03-29/
Sætra, H. S., & Selinger, E. (2024). Technological Remedies for Social Problems: Defining and Demarcating Techno-Fixes and Techno-Solutionism. Science and Engineering Ethics, 30(6), 60. https://doi.org/10.1007/s11948-024-00524-x
Save the Children. (2023). Sudan: Lifesaving vaccines for children destroyed in power outages amidst violence. https://www.savethechildren.net/news/sudan-lifesaving-vaccines-children-destroyed-power-outages-amidst-violence
Scaccia, A., Saade, C., Ballesta, P., Rieger, M., & Clénet, D. (2025). Predicting stability of conventional and mRNA-based vaccines. Vaccine Insights, 4(2), 27–39. https://doi.org/10.18609/vac.2025.054
SEBoK. (2025). System Reliability, Availability, and Maintainability - SEBOK. https://sebokwiki.org/wiki/System_Reliability%2C_Availability%2C_and_Maintainability
Sinha, A. K., Verma, A. R., Chandrakar, A., Khes, S. P., Panda, P. S., & Dixit, S. (2017). Evaluation of cold chain and logistics management practice in Durg district of Chhattisgarh: pointer from Central India. International Journal of Community Medicine and Public Health, 4(2), 390. https://doi.org/10.18203/2394-6040.ijcmph20170260
Stoddard, A., Breckenridge, M.-J., Czwarno, M., & Duque-Díez, M. (2025). Aid Worker Security Report 2025 – Defenceless: Aid worker security amid the humanitarian funding collapse. Humanitarian Outcomes. https://humanitarianoutcomes.org/AWSR_2025
Strofer, C. M., Coe, R., Gaebele, D., Beringer, C., Bosma, B., Robertson, B., Bacelli, G., & Devin, M. (2023). Control co-design and uncertainty analysis of the LUPA’s PTO using WecOptTool. Proceedings of the European Wave and Tidal Energy Conference, 15. https://doi.org/10.36688/ewtec-2023-288
Tang, H. (2024). System performance metrics. In Manufacturing system throughput excellence: Analysis, improvement, and design (1st ed., pp. 33–70). Wiley. https://doi.org/10.1002/9781394190355.ch2
Tirkolaee, E. B., Torkayesh, A. E., Tavana, M., Goli, A., Simic, V., & Ding, W. (2023). An integrated decision support framework for resilient vaccine supply chain network design. Engineering Applications of Artificial Intelligence, 126, 106945. https://doi.org/10.1016/j.engappai.2023.106945
UK Health Security Agency. (2013). Storage, distribution and disposal of vaccines: the green book, chapter 3. https://www.gov.uk/government/publications/storage-distribution-and-disposal-of-vaccines-the-green-book-chapter-3
UN Institute for Training and Research. (2022). The state of the humanitarian energy Sector: Challenges, progress and issues in 2022. https://reliefweb.int/report/world/state-humanitarian-energy-sector-challenges-progress-and-issues-2022
UNICEF. (n.d.). Technical Review of Public Health Supply Chain Assessment tools: An analysis of major supply chain assessment tools and approaches. Retrieved https://www.unicef.org/supply/documents/technical-review-public-health-supply-chain-assessment-tools
UNICEF. (2019). Enhancing immunization programmes in Yemen. https://www.unicef.org/yemen/stories/enhancing-immunization-programmes-yemen
UNICEF. (2021a). E004 cold boxes and vaccine carriers. https://www.unicef.org/supply/media/6391/file/VaccineCarrierColdBox-guideline-2021.pdf
UNICEF. (2021b). Supply Chain Maturity Model Concept Note. https://www.unicef.org/supply/documents/supply-chain-maturity-model-concept-note
United Nations Environment Programme. (2020). Why optimized cold-chains could save a billion COVID vaccines. https://www.unep.org/news-and-stories/story/why-optimized-cold-chains-could-save-billion-covid-vaccines
United Nations Office for the Coordination of Humanitarian Affairs. (2024). Global Humanitarian Overview 2025 [EN/AR/FR/ES]. https://www.unocha.org/publications/report/world/global-humanitarian-overview-2025-enarfres
Wang, Z., & Zhang, J. (2019). Agent-based evaluation of humanitarian relief goods supply capability. International Journal of Disaster Risk Reduction, 36, 101105. https://doi.org/10.1016/j.ijdrr.2019.101105
World Health Organization (WHO). (n.d.). Effective Vaccine Management (EVM). https://www.who.int/teams/immunization-vaccines-and-biologicals/essential-programme-on-immunization/supply-chain/effective-vaccine-management-(evm)
World Health Organization (WHO). (2015). Vaccine Management Handbook: How to monitor temperatures in the vaccine supply chain. https://www.who.int/publications/i/item/WHO-IVB-15.04
World Health Organization (WHO). (2018). How to Develop a Continuous Improvement Plan (cIP). https://iris.who.int/bitstream/handle/10665/272861/9789241514293-eng.pdf
World Health Organization (WHO). (2023a). Close to one billion people globally are served by health-care facilities with no electricity access or with unreliable electricity. https://www.who.int/news/item/14-01-2023-close-to-one-billion-people-globally-are-served-by-health-care-facilities-with-no-electricity-access-or-with-unreliable-electricity
World Health Organization (WHO). (2023b). Electricity in health-care facilities. https://www.who.int/news-room/fact-sheets/detail/electricity-in-health-care-facilities
Pareja Yale, C. L., Lorena Da Silva Frazao, M., De Mesquita, M. A., & Yoshizaki, H. T. Y. (2020). Simulation Applications in Humanitarian Logistics: A Systematic Literature Review. 2020 Winter Simulation Conference (WSC), 2589–2600. https://doi.org/10.1109/WSC48552.2020.9384011
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Arpish R. Solanki

This work is licensed under a Creative Commons Attribution 4.0 International License.
JSCMS is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. The license means that anyone is free to share (to copy, distribute, and transmit the work), to remix (to adapt the work) under the following conditions:
- The original authors must be given credit
- For any reuse or distribution, it must be made clear to others what the license terms of this work are
- Any of these conditions can be waived if the copyright holders give permission
- Nothing in this license impairs or restricts the author's moral rights
