Open Access
Issue |
RAIRO-Oper. Res.
Volume 57, Number 3, May-June 2023
|
|
---|---|---|
Page(s) | 1097 - 1123 | |
DOI | https://doi.org/10.1051/ro/2023053 | |
Published online | 18 May 2023 |
- F. He, Y. Deng and W. Li, Coronavirus disease 2019: What we know? J. Med. Virol. 922020 (2019) 719–725. [CrossRef] [PubMed] [Google Scholar]
- M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, M. Agha and R. Aghaf, The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int. J. Surg. 78 (2020) 185–193. [CrossRef] [Google Scholar]
- X. Xu, M.D. Rodgers and W.G. Guo, A hub-and-spoke design for ultra-cold COVID-19 vaccine distribution. vaccine 39 (2021) 6127–6136. [CrossRef] [PubMed] [Google Scholar]
- P.H. Nguyen, J.F. Tsai, T.T. Dang, M.H. Lin, H.A. Pham and K.A. Nguyen, A hybrid spherical fuzzy MCDM approach to prioritize governmental intervention strategies against the COVID-19 pandemic: a case study from Vietnam. Mathematics 9 (2021) 2626. [CrossRef] [Google Scholar]
- K. El Hail, M. Khaladi and A. Ouhinou, Early-confinement strategy to tackling COVID-19 in Morocco; a mathematical modelling study. RAIRO: OR 56 (2022) 4023–4033. [CrossRef] [EDP Sciences] [Google Scholar]
- M. Alipour Vaezi and R. Tavakkoli-Moghaddam, A new methodology for COVID-19 preparedness centers based on a location-allocation platform. J. Ind Syst. Eng. 13 (2020) 35–41. [Google Scholar]
- N. Shamsi Gamchi, S.E. Beladian, S.A. Torabi and Z. Mohammadnazari, Establishment of Coronavirus post-hospital recovery sites by Shahid Beheshti University of Medical Sciences: action report and logistical analysis. Disaster Prev. Manag. Know. 10 (2020) 264–276. [Google Scholar]
- B. Rabta, C. Wankmüller and G. Reiner, A drone fleet model for last-mile distribution in disaster relief operations. Int. J. Disaster Risk Reduct. 28 (2018) 107–112. [CrossRef] [Google Scholar]
- D.H.B. Gai, Z. Graybill, P. Voevodsky and E. Shittu, Evaluating scenarios of locations and capacities for vaccine storage in Nigeria. vaccine 36 (2018) 3505–3512. [CrossRef] [PubMed] [Google Scholar]
- M. Masoumi, A. Aghsami, M. Alipour-Vaezi, F. Jolai and B. Esmailifar, An M/M/C/K queueing system in an inventory routing problem considering congestion and response time for post-disaster humanitarian relief: a case study. J. Humanit. Logist. Supply Chain Manag. (2021). [Google Scholar]
- N. Bulula, D.P. Mwiru, O. Swalehe and A.T. Mori, Vaccine storage and distribution between expanded program on immunization and medical store department in Tanzania: a cost-minimization analysis. Vaccine 38 (2020) 8130–8135. [CrossRef] [PubMed] [Google Scholar]
- P.K. Ghosh, A.K. Manna, J.K. Dey and S. Kar, A deteriorating food preservation supply chain model with downstream delayed payment and upstream partial prepayment. RAIRO: OR 56 (2022) 331–348. [CrossRef] [EDP Sciences] [Google Scholar]
- N.S. Jecker, A.G. Wightman and D.S. Diekema, Vaccine ethics: an ethical framework for global distribution of COVID-19 vaccines. J. Med. Ethics 47 (2021) 308–317. [Google Scholar]
- M. Rastegar, M. Tavana, A. Meraj and H. Mina, An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic. Vaccine (2021) 495–504. [CrossRef] [PubMed] [Google Scholar]
- Y. Yang, H. Bidkhori and J. Rajgopal, Optimizing vaccine distribution networks in low and middle-income countries. Omega 99 (2021) 102197. [CrossRef] [Google Scholar]
- E.B. Tirkolaee, P. Abbasian and G.-W. Weber, Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. Sci. Total Environ. 756 (2021) 143607. [CrossRef] [Google Scholar]
- J. Pacheco and M. Laguna, Vehicle routing for the urgent delivery of face shields during the COVID-19 pandemic. J. Heuristics 26 (2020) 619–635. [CrossRef] [Google Scholar]
- M. Alipour-Vaezi, R. Tavakkoli-Moghadaam and M. Samieinasab, Scheduling the COVID-19 vaccine distribution based on data-driven decision-making methods. J. Ind. Eng. Manag. Stud. 8 (2022) 196–206. [Google Scholar]
- M. Alipour-Vaezi, A. Aghsami and F. Jolai, Prioritizing and queueing the emergency departments’ patients using a novel data-driven decision-making methodology, a real case study. Expert Syst. Appl. 195 (2022) 116568. [CrossRef] [Google Scholar]
- Z. Fereidouni, Z. Mehdizadeh Somarin, Z. Mohammadnazari, A. Aghsami and F. Jolai, Analysis of correlation between food consumption habits and COVID-19 outbreak. J. Ind Syst. Eng. 14 (2022) 86–118. [Google Scholar]
- S.A. Erdogan, S. Kannan and C. Cheng, Optimization of vaccine delivery operations with regional distribution centers, in IIE Annual Conference Proceedings, Institute of Industrial and Systems Engineers (IISE) (2017). [Google Scholar]
- S.J. Sadjadi, Z. Ziaei and M.S. Pishvaee, The design of the vaccine supply network under uncertain condition: a robust mathematical programming approach. J. Model. Manag. (2019). [Google Scholar]
- Y. Yang, Optimal Design and Operation of WHO-EPI Vaccine Distribution Chains. University of Pittsburgh (2020). [Google Scholar]
- A. Mohamadi and S. Yaghoubi, A new stochastic location-allocation emergency medical services healthcare system model during major disaster. J. Ind. Syst. Eng. 9 (2016) 85–99. [Google Scholar]
- S.-u. Rahman and D.K. Smith, Use of location-allocation models in health service development planning in developing nations. Eur. J. Oper. Res. 123 (2000) 437–452. [CrossRef] [Google Scholar]
- S. Beheshtifar and A. Alimoahmmadi, A multiobjective optimization approach for location-allocation of clinics. Int. Trans. Oper. Res. 22 (2015) 313–328. [CrossRef] [MathSciNet] [Google Scholar]
- S.B. Khojasteh and I. Macit, A stochastic programming model for decision-making concerning medical supply location and allocation in disaster management. Disaster Med. Public Health Prep. 11 (2017) 747–755. [CrossRef] [PubMed] [Google Scholar]
- S.S. Bhopal, B. Olabi and R. Bhopal, Vaccines for COVID-19: learning from ten phase II trials to inform clinical and public health vaccination programmes. Public Health 193 (2021) 57–60. [CrossRef] [PubMed] [Google Scholar]
- T. Singhal, A review of coronavirus disease-2019 (COVID-19). Indian J. Pediatr. 87 (2020) 281–286. [CrossRef] [PubMed] [Google Scholar]
- C. Liu, G. Kou, X. Zhou, Y. Peng, H. Sheng and F.E. Alsaadi, Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach. Knowl. Based Syst. 188 (2020) 104813. [CrossRef] [Google Scholar]
- M. Alinaghian and A. Goli, Location, allocation and routing of temporary health centers in rural areas in crisis, solved by improved harmony search algorithm. Int. J. Comput. Intell. Syst. 10 (2017) 894–913. [CrossRef] [Google Scholar]
- L.A. Zadeh, Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1 (1978) 3–28. [CrossRef] [Google Scholar]
- M. Jiménez, M. Arenas, A. Bilbao and M.V. Rodrí, Linear programming with fuzzy parameters: an interactive method resolution. Eur. J. Oper. Res. 177 (2007) 1599–1609. [CrossRef] [Google Scholar]
- M. Jiménez, Ranking fuzzy numbers through the comparison of its expected intervals. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 4 (1996) 379–388. [CrossRef] [Google Scholar]
- R.R. Yager, On the measure of fuzziness and negation part i: membership in the unit Interval. Int. J. General Syst. 5 (1979) 221–229. [CrossRef] [Google Scholar]
- T. Shahedi, A. Aghsami and M. Rabani, Designing a Green Closed-Loop Supply Chain Network for the automotive tire industry under uncertainty. J. Ind. Syst. Eng. 13 (2021) 226–261. [Google Scholar]
- S. Jalilvand, S. Heidari, Z. Mohammadnazari, A. Aghsami, E. Rabbani and M. Rabbani, A bi-objective organ transplant supply chain network with recipient priority considering carbon emission under uncertainty, a case study. Process Integr. Optim. Sustain. (2023) 1–19. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.