Convalescent plasma bank facility location-allocation problem for COVID-19

Manupati, Vijaya Kumar; Schoenherr, Tobias; Wagner, Stephan M.; Soni, Bhanushree; Panigrahi, Suraj; Ramkumar, M.

doi:10.1016/j.tre.2021.102517

Cited by 22 publications

(4 citation statements)

References 53 publications

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“…Convalescent plasma therapy has been used to treat various viral diseases like the Machupo virus, Ebola virus, Junin virus, and more, which yielded positive results in reducing viral loads [138]. This same method was adopted during the COVID-19 pandemic to treat patients [139]; when an individual recovers from the virus infection, the plasma extracted from them is known as convalescent plasma [140]. During the different waves worldwide, the demand for plasma was surging beyond the supply limit [141].…”

Section: Distinct Topics Of Discussion In the Entire Corpusmentioning

confidence: 99%

“…During the different waves worldwide, the demand for plasma was surging beyond the supply limit [141]. Therefore, plasma SC models have been briefly discussed for facility location-allocation problems [140], scheduling [142], and dynamics of plasma demand [143]. To overcome this issue, it was essential to design an efficient model to facilitate the collection and distribution of plasma.…”

Section: Distinct Topics Of Discussion In the Entire Corpusmentioning

confidence: 99%

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Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

2022

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The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such unexpected events. Therefore, the supply chain research landscape has evolved to address the challenges during the pandemic. However, available literature surveys have not explored the power of text analytics. Hence, in this review, an analysis of the supply chain literature related to the impacts of COVID-19 is performed to identify the current research trends and future research avenues. To discover the frequent topics discussed in the literature, bibliometric analysis (i.e., keyword co-occurrence network) and text mining tools (i.e., N-gram analysis and topic modeling) are employed for the whole corpus and the top-three contributing journals (i.e., Sustainability, International Journal of Logistics Management, Operations Management Research). Moreover, text analytics (i.e., Term Frequency-Inverse Document Frequency: TF-IDF) is utilized to discover the distinctive topics in the corpus and per journals. A total of 574 papers published up to the first semester of 2022 were collected from the Scopus database to determine the research trends and opportunities. The keyword network identified four clusters considering the implementation of digitalization to achieve resilience and sustainability, the usage of additive manufacturing during the pandemic, the study of food supply chains, and the development of supply chain decision models to tackle the pandemic. Moreover, the segmented keyword network analysis and topic modeling were performed for the top three contributors. Although both analyses draw the research concentrations per journal, the keyword network tends to provide a more general scope, while the topic modeling gives more specific topics. Furthermore, TF-IDF scores unveiled topics rarely studied, such as the implications of the pandemic on plasma supply chains, cattle supply chains, and reshoring decisions, to mention a few. Additionally, it was observed how the different methodologies implemented allowed to complement the information provided by each method. Based on the findings, future research avenues are discussed. Therefore, this research will help supply chain practitioners and researchers to identify supply chain advancements, gaps in the literature and future research streams.

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Section: Distinct Topics Of Discussion In the Entire Corpusmentioning

confidence: 99%

Section: Distinct Topics Of Discussion In the Entire Corpusmentioning

confidence: 99%

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

2022

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“…Due to the COVID-19 pandemic, several researchers have investigated methods for locating COVID-19 emergency health centers. Manupati et al [ 54 ] proposed a mixed-integer linear programming (MILP) model to develop a plasma supply chain network that simplifies the location of plasma banks as well as the allocation of delivery facilities to these plasma banks for COVID-19. Zhou et al [ 55 ] investigated the inherent spatial variability of COVID-19 transmission in the community and developed vaccine delivery tactics that took spatial prioritizing into account.…”

Section: Literature Reviewmentioning

confidence: 99%

Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia

Alhothali

Alwated

Faisal

et al. 2022

IJERPH

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The correct distribution of service facilities can help keep fixed and overhead costs low while increasing accessibility. When an appropriate location is chosen, public-sector facilities, such as COVID-19 centers, can save lives faster and provide high-quality service to the community at a low cost. The purpose of the research is to highlight the issues related to the location of COVID-19 vaccine centers in the city of Jeddah, Saudi Arabia. In particular, this paper aims to analyze the accessibility of COVID-19 vaccine centers in Jeddah city using maximal coverage location problems with and without constraint on the number and capacity of facilities. A maximal coverage model is first used to analyze the COVID-19 vaccination coverage of Jeddah districts with no restriction on the facility capacity. Then, a maximize capacitated coverage method is utilized to assess the centers’ distribution and demand coverage with capacity constraints. Finally, the minimize facilities model is used to identify the most optimal location required to satisfy all demand points with the least number of facilities. The optimization approaches consider the objective function of minimizing the overall transportation time and travel distance to reduce wastage on the service rate provided to the patients. The optimization model is applied to a real-world case study in the context of the COVID-19 vaccination center in Jeddah. The results of this study provide valuable information that can help decision-makers locate and relocate COVID-19 centers more effectively under different constraints conditions.

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“…Humanitarian organizations can also respond to disasters during an epidemic or a pandemic (Dolinskaya et al , 2018) since complex emergencies can be the cause of spreading communicable diseases (Hammer et al , 2018). As a consequence, health-related crises create environments in which each health commodity has its own handling requirements, such as vaccines (Comes et al , 2018) or blood plasma (Manupati et al , 2021).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

HumOSCM for pandemic response

Wagner¹,

Tabaklar²,

Seifert³

2022

IJLM

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Purpose Humanitarian organizations have faced the unprecedented consequences of the coronavirus disease 2019 (COVID-19) pandemic. In this article, the authors therefore discuss how epidemics and pandemics, specifically Ebola and COVID-19, have affected humanitarian operations and supply chain management (HumOSCM), and how HumOSCM has contributed to preparedness for and response to epidemics and pandemics. The authors present lessons learned from responses to Ebola and COVID-19.Design/methodology/approach For this study, the authors review the scholarly HumOSCM literature, use documentary evidence from practitioner literature and apply a theory synthesis approach to derive recommendations on how HumOSCM could strengthen future responses to epidemics and pandemics.Findings The conceptualizations highlight the importance of strengthening collaboration, capability and capacity for the response to epidemics and pandemics. Furthermore, the components that can enhance the degree of collaboration, and hence, response formation, are discussed.Research limitations/implications As a non-empirical article, it suffers from the limitations of conceptual research. Hence, empirical testing of the proposed framework is recommended. The framework and propositions can serve as a basis for future studies.Practical implications The conceptual framework can help humanitarian organizations and other actors in the humanitarian sector to better understand how to prepare for future responses to epidemics and pandemics, in particular by considering the components that enhance the degree of collaboration, as well as through capability development and capacity building.Originality/value This article begins a discussion of how HumOSCM should evolve to better respond to future epidemics and pandemics.

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Convalescent plasma bank facility location-allocation problem for COVID-19

Cited by 22 publications

References 53 publications

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia

HumOSCM for pandemic response

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