A Multiclass, Multiproduct Covid-19 Convalescent Plasma Donor Equilibrium Model

Nagurney, Anna; Dutta, Pritha

doi:10.1007/s43069-021-00072-1

Cited by 5 publications

(3 citation statements)

References 62 publications

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“…In December 2019 and the beginning of 2020, COVID-19 was discovered, which caused the economies of most countries to suffer [1][2][3][4][5]. In January 2020, the World Health Organization (WHO) stated that there was a worldwide public health emergency and that there would be a pandemic in March 2020.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?

Habib¹,

Kayani

2023

Oper. Res. Forum

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This study evaluates the working capital management (WCM) super-efficiency in UAE firms and determines how the COVID-19 crisis may affect WCM super-efficiency from a statistical perspective. Data envelopment analysis (DEA), difference tests, and Tobit regression techniques are used. Integration of DEA with Tobit regression is required to recognize the potential statistical consequence of COVID-19 on the super-efficiency of WCM. The results show that WCM super-efficiency is moderate and requires decision-makers' corrective measures to attain best practices. The study results show no significant difference in WCM super-efficiency, and COVID-19 does not significantly influence WCM super-efficiency. The results would rouse decision-makers' interests, who would look into the firm's efficiency and weak spots. They would then take major steps to improve efficiency and achieve the best practices. Stakeholders such as managers, financiers, and investors may need these results to monitor how firms manage their assets and liabilities. We contribute to the literature by investigating and evaluating firms' WCM super-efficiency pre and post the COVID-19 pandemic employing a unique technique based on DEA super-efficiency and examining whether COVID-19 has affected WCM super-efficiency to extend the scope of knowledge and stressing the importance of sound WCM, especially in periods of economic distress.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?

Habib¹,

Kayani

2023

Oper. Res. Forum

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“…This paper adds to the recent literature on novel applications and extensions of supply chain networks using the rigorous methodology of the theory of variational inequalities to address challenges in the commercial sector (cf. Nagurney, Yu, and Besik [ 32 ], Saberi et al [ 39 ], Nagurney, Besik, and Nagurney (2019), Yu et al [ 49 ]) and inspired by the COVID-19 pandemic (see, e.g., Nagurney, Daniele, and Nagurney [ 30 ], Daniele and Sciacca [ 12 ], Nagurney [ 25 ], Nagurney and Dutta [ 31 ], Salarpour and Nagurney [ 40 ]). However, as noted above, there has been limited research on game theory and supply chain networks with the inclusion of the critical human resource - that of labor.…”

Section: Introductionmentioning

confidence: 99%

Supply chain networks, wages, and labor productivity: insights from Lagrange. analysis and computations

Nagurney

2022

J Glob Optim

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The COVID-19 pandemic has dramatically demonstrated the importance of labor to supply chain network activities from production to distribution with shortfalls in labor availability, for numerous reasons, resulting in product shortages and the reduction of profits of firms. Even as progress has been made through vaccinations, issues associated with labor are still arising. Increasing wages is a strategy to enhance labor productivity and, also to ameliorate, in part, labor shortages, but has not, until this work, been explored in a full supply chain network context. Specifically, in this paper, a game theory supply chain network model is constructed of firms competing in producing a substitutable, but differentiated, product, and seeking to determine their equilibrium product path flows, as well as hourly wages to pay their workers, under fixed labor amounts associated with links, and wage-responsive productivity factors. The theoretical and computational approach utilizes the theory of variational inequalities. We first introduce a model without wage bounds on links and then extend it to include wage bounds. Lagrange analysis is conducted for the latter model, which yields interesting insights, as well as an alternative variational inequality formulation. A series of numerical examples reveals that firms can gain in terms of profits by being willing to pay higher wages, resulting in benefits also for their workers, as well as consumers, who enjoy lower demand market prices for the products. However, sensitivity analysis should be conducted to determine the range of such wage bounds. Ultimately, we observed, that the profits may decrease and then stabilize. This work adds to the literature on the integration of concepts from economics and operations research for supply chain networks and also has policy implications.

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“…Several studies in the operations research literature use theoretical and empirical approaches to analyze multiple aspects of the COVID-19 pandemic. These aspects include modeling the spread of the disease (Ivorra et al 2020), ICU capacity management (Alban et al 2020), importance of wearing high quality masks (Rosenstrom et al 2020), ventilator inventory management (Mehrotra et al 2020), the impact of COVID-19 on global supply chain performance and food supply chain (Ivanov 2020 andSingh et al 2020), and plasma donations during the COVID-19 pandemic (Nagurney and Dutta 2020), among others. To the best of our knowledge, there are no theoretical or empirical studies on COVID-19 vaccine pricing.…”

Section: Introductionmentioning

confidence: 99%

Pricing the COVID-19 Vaccine: A Mathematical Approach

Martonosi,

Behzad,

Cummings

2021

Preprint

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According to the World Health Organization, development of the COVID-19 vaccine is occurring in record time. Administration of the vaccine has started the same year as the declaration of the COVID-19 pandemic. The United Nations emphasized the importance of providing COVID-19 vaccines as "a global public good", which is accessible and affordable world-wide. Pricing the COVID-19 vaccines is a controversial topic. We use optimization and game theoretic approaches to model the COVID-19 U.S. vaccine market as a duopoly with two manufacturers Pfizer-BioNTech and Moderna. The results suggest that even in the context of very high production and distribution costs, the government can negotiate prices with the manufacturers to keep public sector prices as low as possible while meeting demand and ensuring each manufacturer earns a target profit. Furthermore, these prices are consistent with those currently predicted in the media.

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A Multiclass, Multiproduct Covid-19 Convalescent Plasma Donor Equilibrium Model

Cited by 5 publications

References 62 publications

Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?

Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?

Supply chain networks, wages, and labor productivity: insights from Lagrange. analysis and computations

Pricing the COVID-19 Vaccine: A Mathematical Approach

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