Blood supply chain operation considering lifetime and transshipment under uncertain environment

Zhou, Yufeng; Zou, Tiange; Changshi, Liu; H, Yu; Chen, Liangyong; Su, Jiafu

doi:10.1016/j.asoc.2021.107364

Cited by 32 publications

(18 citation statements)

References 33 publications

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“…Also, they included the possibility of transfusion of one blood type to other types based on the medical requirements in their model. In a similar study, Zhou et al ( 2021 ) proposed a dynamic decision-making frame for designing a BSCN using the Estimated Withdrawal & Aging strategy. A recent study by Dehghani et al ( 2021 ) considered the proactive transshipment policy to avoid future shortages.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A growing concern regarding an efficient CLBSCN is two-fold; first, the total costs of every supply chain should be minimized (Billal et al, 2022 ; Dehghani et al, 2021 ; Ebrahimi et al, 2022 ; Ghahremani-Nahr et al, 2022 ; Khalilpourazari & Hashemi Doulabi, 2022 ; Zhou et al, 2021 ). Second, the service level of the patients should be maximized.…”

Section: Introductionmentioning

confidence: 99%

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Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

et al. 2022

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Reconfiguring the structure of the supply chain network is one of the most strategic and vital decisions in designing a supply chain network. In this study, a Closed-Loop Blood Supply Chain Network (CLBSCN) considering blood group compatibility, ABO-Rh(D), and blood product shelf life has been studied to determine the best strategic and tactical decisions simultaneously considering lateral resupply/transshipment and service-level maximization. Several vital parameters, including supply and demand, are considered fuzzy numbers to approximate reality due to the nature of the world. Furthermore, two crucial factors include ABO-Rh(D) and blood product shelf life considered, while the concept of lateral resupply governs the interconnections of hospitals’ excess blood units. We propose a fuzzy multi-objective Mixed-Integer Non-Linear Programming (MINLP) model to consider two critical objective functions: minimizing the total costs of the network and maximizing the minimum service level to the patients at each Hospital. The fuzzy multi-objective MINLP model is converted to a deterministic multi-objective model using the equivalent auxiliary crisp model to deal with uncertainty. Then, by utilizing two interactive fuzzy solution approaches, the results have been compared based on a real case study to suggest the best solution for the proposed model. Also, we conduct sensitivity analysis on essential parameters such as demand, supply, and capacity to understand how these parameter variations impact two proposed objective functions. Then, the proposed model is tested on a real case study for model validation. The results confirmed that considering the lateral resupply could significantly save the costs of the designed network by a total of $343,000. Interestingly, maximizing the minimum service level at hospitals increased the service level from 58% to 68%.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

et al. 2022

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“…doctor able to see all blood types and its satisfied from the doctor, fetch the blood from the blood camp to the destiny patient. in this method, everyone has to satisfy the blood types and centigrade to maintain the blood and how many days are preserved (Zhou et al, 2021) (Madine et al, 2020).…”

Section: Blood Supply Chain Using Blockchain Through Decentralized St...mentioning

confidence: 99%

Blood Supply Chain Management Using Blockchain Technology

N¹,

VIGNESH²

2022

Preprint

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The blood supply accessible for blood bonding diminishes and requests increments. In any case, existing brought together blood the board frameworks have impediments in that they need itemized blood data and, additionally, data isn’t reflected continuously. To take care of this issue, this paper presents an inventive blood cold chain framework dependent on blockchain innovation. Blockchain is one of the arising innovations in use in numerous businesses like (Medical/Smart cities/Voting/etc..,). In this paper, we talk about blood supply the board utilizing blockchain innovation. The proposed framework plans to expand data permeability by recording the general data on the blood supply to the conveyed record. Since we need to utilize the consent blockchain that implies hyperledger texture every one of the exchanges is straightforward so we can keep away from the specialists and stop the blood to sell in the bootleg market. In this strategy, we utilized the savvy contract for a consent network that implies cold chain (Go Language/Java) code to be composed so third people cannot mess with the information. Data in the proposed blood cold chain framework can’t be produced or altered, also, data recorded and partook continuously is kept straightforward.

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“…If a certain loss occurs, if and only if L( 1 , 2 , … , n ) ≤ 0 , the risk index is Risk = , where is the root of Eq. (4) [53,54]:…”

Section: Preliminariesmentioning

confidence: 99%

“…In investment transactions, due to external influences such as policies, as the transaction volume increases, unit transaction costs will gradually decrease. At this time, the transaction cost function is a concave function, but if it reaches a certain critical point, a short supply of stocks will lead to an increase in unit transaction fees [53]. It assumes that investors invest in a stable market; that is, transaction costs will not exceed the critical point.…”

Section: The Optimal Model Of Uncertain Return Investment Portfolios Based On Prospect Theorymentioning

confidence: 99%

Portfolio optimization model with uncertain returns based on prospect theory

Zhou

Tan

2021

Complex Intell. Syst.

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When investing in new stocks, it is difficult to predict returns and risks in a general way without the support of historical data. Therefore, a portfolio optimization model with an uncertain rate of return is proposed. On this basis, prospect theory is used for reference, and then the uncertain return portfolio optimization model is established from the perspective of expected utility maximization. An improved gray wolf optimization (GWO) algorithm is designed because of the complex nonsmooth and nonconcave characteristics of the model. The results show that the GWO algorithm is superior to the traditional particle swarm optimization algorithm and genetic algorithm.

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Blood supply chain operation considering lifetime and transshipment under uncertain environment

Cited by 32 publications

References 33 publications

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

Blood Supply Chain Management Using Blockchain Technology

Portfolio optimization model with uncertain returns based on prospect theory

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