A two-phase coordinated logistics planning approach to platelets provision in humanitarian relief operations

Kamyabniya, Afshin; Lotfi, Mohammad Mehdi; Cai, Hua; Hosseini-Nasab, Hasan; Yaghoubi, Saeed; Yih, Yuehwern

doi:10.1080/24725854.2018.1479901

Cited by 19 publications

(23 citation statements)

References 47 publications

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“…Therefore, temporary health centers are alternative facilities that can be located in the aftermath of a disaster to ensure adequate health services. The reader can refer to Alizadeh et al [5] , Habibi-Kouchaksaraei et al [43] , Haghi et al [44] , Kamyabniya et al [58] , Liu et al [77] and Zarrinpoor et al [150] for works exploring this possibility. Jenkins et al [54] studied staging facilities for aeromedical helicopters which can be considered as temporary health centers as well.…”

Section: Types Of Facilities To Be Locatedmentioning

confidence: 99%

“…The estimation of demand level and location considering this aspect can be found in Mete and Zabinsky [83] , Rezaei-Malek et al [118] and Salehi et al [122] . Other possibilities for estimating the location and amount of demand have been considered such as the use of experts' opinion (Habibi-Kouchaksaraei et al [43] , Kamyabniya et al [58] , Li et al [74] , Mohamadi et al [85] and Torabi et al [139] ) or the use of historical data from previous disasters which is the case in Balcik and Beamon [11] , Balcik et al Vargas Flores et al [144] and Wand and Nie [147] .…”

Section: Uncertainty In Demandmentioning

confidence: 99%

“…A particular worrisome item is blood. Accounting for the effect of its inconsistent donation on a disaster management process is almost inevitable as it is highlighted in Fahimnia et al [38] , Kamyabniya et al [58] , Kohneh et al [68] , Salehi et al [122] and Samani et al [125] .…”

Section: Uncertainty In Supplymentioning

confidence: 99%

“…Safaei et al [121] make use of Goal Programming to deal with a bi-objective model that is considered at the upper level. Kamyab-niya et al [58] and Moreno et al [87] also used bi-level programming. Finally, we refer to Liberatore et al [75] who use tri-level programming to evaluate the criteria by different decision makers.…”

Section: Multiple Criteria Approachesmentioning

confidence: 99%

See 3 more Smart Citations

Humanitarian facility location under uncertainty: Critical review and future prospects

Dönmez

Kara

Karsu

et al. 2021

Omega

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Section: Types Of Facilities To Be Locatedmentioning

confidence: 99%

Section: Uncertainty In Demandmentioning

confidence: 99%

Section: Uncertainty In Supplymentioning

confidence: 99%

Section: Multiple Criteria Approachesmentioning

confidence: 99%

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Humanitarian facility location under uncertainty: Critical review and future prospects

Dönmez

Kara

Karsu

et al. 2021

Omega

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“…Samani et al ( 2018 ) introduced a MILP multi-objective formulation for designing a BSCN in disaster relief with the aim of providing a tradeoff between the shortage and network cost efficiency while considering the uncertainty of demand and supply of blood. Kamyabniya et al ( 2019 ) introduced a two-step coordination mechanism for platelets supply chain network in disaster relief in which the proposed approach aims to minimize cost and relief response time. Mohamadi and Yaghoubi ( 2017 ) developed a bi-objective stochastic model for designing an emergency HSN in a disaster considering important issues such as medical supplies and urgent health services.…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated socially responsible-efficient approach toward health service network design

et al. 2021

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Despite the fact that medical responses are crucial for saving precious lives during any humanitarian crisis (e.g., the COVID-19 pandemic), healthcare infrastructure in many communities are partially covered or are not covered yet. In order to strengthen the health system response to such crisis, especially in low-to middle-income communities, this paper extends a novel multi-objective model for designing a health service network under uncertainty which simultaneously considers efficiency, social responsibility, and network cost. For efficiency, a modified data envelopment analysis model is introduced and inserted into the proposed model to decrease the inefficiency of healthcare facilities belonging to the different tiers of the health system. For social responsibility, two measures of job creation and balanced development are incorporated into the extended model. This is not only considered to cope with the increased numbers of patients and disaster victims to healthcare facilities but also to deal with the challenge of the economy and the livelihoods of people during the crisis. Moreover, a novel mixed possibilistic-flexible robust programming (MPFRP) approach is developed to protect the considered network against uncertainty. To show the applicability of the extended model, a real-world case study is presented. The results reveal that contrary to fuzzy programming models, the MPFRP performs well in terms of social responsibility (72%), cost (8%), and efficiency (28%) and is able to make a trade-off between these three measures. In this study, the resilience level of the designed network is not addressed while disregarding any short-term stoppage owing to internal or external sources of disruption in designing may bring about a considerable loss.

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A two‐stage adaptive robust model for designing a reliable blood supply chain network with disruption considerations in disaster situations

Qing,

Yin,

Wang

et al. 2024

Naval Research Logistics

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We consider multi‐period blood supply chain network design in disaster situations that involve blood donor groups, permanent and temporary blood collection facilities, blood banks, and hospitals. We use a discrete scenario set to model the uncertain blood supply and demand, and the unforeseeable disruptions in permanent blood collection facilities, blood banks, and road links arising from a disaster, where instead of complete failure, disrupted permanent blood collection facilities and blood blanks may only lose part of their capacities. To design a reliable blood supply network to mitigate the possible disruptions, we present a two‐stage adaptive robust model that integrates the location, inventory, and allocation decisions incorporating a blood sharing strategy, where blood can be delivered from a disrupted/non‐disrupted blood bank to disrupted blood banks to enhance the flexibility of the relief network. For this novel problem, we devise an exact algorithm that integrates column‐and‐constraint generation and Benders decomposition and introduce several non‐trivial acceleration techniques to speed up the solution generation process. We conduct extensive numerical studies on random data sets to evaluate the algorithmic performance. We also conduct a case study in Tehran to demonstrate its real‐life applicability and examine the impacts of key model parameters on the solutions. The numerical results verify the benefits of our model over typical benchmarks, that is, deterministic and stochastic models, and the superiority of our solution algorithm over the CPLEX solver and two well‐known solution approaches, that is, column‐and‐constraint generation and Benders decomposition. Finally, based on the numerical results, we derive managerial insights from the analytical findings.

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A two-phase coordinated logistics planning approach to platelets provision in humanitarian relief operations

Cited by 19 publications

References 47 publications

Humanitarian facility location under uncertainty: Critical review and future prospects

Humanitarian facility location under uncertainty: Critical review and future prospects

An integrated socially responsible-efficient approach toward health service network design

A two‐stage adaptive robust model for designing a reliable blood supply chain network with disruption considerations in disaster situations

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