Supply chain network competition among blood service organizations: a Generalized Nash Equilibrium framework

Nagurney, Anna; Dutta, Pritha

doi:10.1007/s10479-018-3029-2

Cited by 30 publications

(23 citation statements)

References 60 publications

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“…We emphasize that the above types of multipliers have also been used in other perishable product supply chain models for pharmaceuticals by Masoumi, Yu, and Nagurney (2012) and for blood supply chains by Nagurney, Masoumi, and Yu (2012) and Nagurney and Dutta (2019).…”

Section: Notation Variablesmentioning

confidence: 99%

In the End, It’s All About People

2021

Volume 48, Number 1, February 2021

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The Covid-19 pandemic is a major healthcare disaster that has fundamentally transformed our daily lives and the operations of governments, businesses, healthcare operations, and educational institutions. It has elevated and expanded the role of essential workers, not only in healthcare but also in the food industry. The food industry has undergone major disruptions in the pandemic for reasons including compromised labor resources. In this paper, we develop a supply chain generalized network optimization framework focused on perishable food. The model explicitly includes labor availability associated with the network economic activities of production, transportation, storage, and distribution in order to quantify the impacts of associated disruptions due to illnesses, physical/social distancing requirements, and decreases in labor productivity. Theoretical results are presented along with a series of numerical examples on a fresh produce product with quantification of a spectrum of pandemic-induced disruptions on product flows, demands, prices, and the profits of the food firm. We also show that including more direct demand markets for fresh produce can yield gains for the firm.

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Section: Notation Variablesmentioning

confidence: 99%

In the End, It’s All About People

2021

Volume 48, Number 1, February 2021

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“…Among the integrated supply chain models reported in the literature review paper by Osorio, Brailsford, and Smith (2015), the most relevant to our work is that of Nagurney, Masoumi, and Yu (2012), where the authors developed a multicriteria optimization model taking into account all the major supply chain activities between a regional blood bank and its demand markets. Inspired by this work and the current competitive environment in the blood banking industry, Nagurney and Dutta (2017) developed an integrated network model to capture the competition among blood suppliers for donations as well as supply contracts with hospitals. Heidari-Fathian and Pasandideh (2017), in turn, developed a three-echelon optimization model including collection sites, donors, and demand points.…”

Section: Literature Reviewmentioning

confidence: 99%

The COVID-19 Pandemic and the Stressed Blood Supply Chain

2020

May/June 2020

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In this paper, we present a multitiered competitive supply chain network model for the blood banking industry, with a focus on the United States, that captures the economic interactions between three tiers of stakeholders; namely, the blood service organizations, the hospitals or medical centers, which transfuse blood to patients, and the payer groups that patients belong to. In addition, the supply chain framework for this life-saving product includes the competition among blood service organizations and their various supply chain activities. We model the behavior of each category of stakeholder and use the theory of variational inequalities to derive the equilibrium conditions for the entire supply chain. Illustrative examples are provided, along with qualitative properties, followed by an algorithm, accompanied by convergence results, that is used to solve simulated numerical examples. Results from these examples demonstrate that such a model can be effectively used to determine the prices and blood pathways from blood service organizations to hospitals to payers.

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“…The research in this paper is different from Qiang [10], and the network consists of manufacturers, remanufacturers and demand markets, and the collecting and remanufacturing by remanufacturers. Secondly, considering the consumers' preference and the promotion of products, the existing literature discussed the static situation [2,3,15,16,19,32,35,36,38]. However, in the actual market, consumers' preference and enterprises' behavior are often not static.…”

Section: Supply Chain Considering Consumers' Preferencementioning

confidence: 99%

“…The study of this paper from a dynamic and static perspective is more in line with the actual situation. Thirdly, the consumers' preference for products [2,15,16,[30][31][32][33], e-channel [11,12,14,34], the behavior of corporate promotion under the e-channel [19,20,[35][36][37][38], CLSCN [9,23,[44][45][46][47][48], are explored and then the above questions are combined to be studied, which has not yet been explored. Finally, inspired by the research of Seuring et al [40] and Shashi et al [41,42], the sustainable thinking is included in this paper, that is, considering the e-channel can effectively reduce the impact of the middlemen's behavior on the environment, and study the problem the E-CLSCN equilibrium.…”

Section: Supply Chain Considering Consumers' Preferencementioning

confidence: 99%

Multi-Period E-Closed-Loop Supply Chain Network Considering Consumers’ Preference for Products and AI-Push

2019

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The remanufacturing industry plays a significant role to improve the utilization of resources and contribute to environmental protection and sustainable development. E-commerce channel (e-channel) has become an important retail channel. The multi-period closed-loop supply chain network of electronic channels (E-CLSCN) is studied. Moreover, this study considers the influence of consumers’ preference for products and artificial intelligence push (AI-push) on network balance under the conditions of dynamic and static. The network consists of manufacturers, remanufacturers, and demand markets. Remanufacturers are responsible for collecting and remanufacturing. The multi-period E-CLSCN model is established through variational inequalities. The study finds that whether dynamic or static, consumers’ preference for new products (NP) has positively correlated with the profits of manufacturers and the whole E-CLSCN. Consumers’ preference for remanufacturer products (RP) has only positively correlated with the profits of remanufactures. In the aspect of AI-push, the manufacturers’ AI-push has positively correlated with the profits of the entire players of E-CLSCN, while the remanufacturers’ AI-push has only positively correlated with the profits of the remanufacturers. Also, considering the multi-period, the sensitivity of the demand markets for the investment of manufacturers’ and remanufacturers’ AI-push gradually reduces, and the marginal benefit of AI-push gradually decreases. Finally, this paper addresses interesting managerial insights from the perspective of government and enterprises. Under the dual objectives of environmental protection and economic interests of enterprises, this study provides a reference for governments and enterprises to develop relevant dynamic policies. Namely, the government formulates dynamic environmental protection measures, and enterprises formulate dynamic strategic plans and implement government policies. While promoting the management level of E-CLSCN, it effectively boosts the development of the remanufacturing industry and recycling sustainable economy.

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Supply chain network competition among blood service organizations: a Generalized Nash Equilibrium framework

Cited by 30 publications

References 60 publications

In the End, It’s All About People

In the End, It’s All About People

The COVID-19 Pandemic and the Stressed Blood Supply Chain

Multi-Period E-Closed-Loop Supply Chain Network Considering Consumers’ Preference for Products and AI-Push

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