An appointment scheduling framework to balance the production of blood units from donation

Baş, Seda; Carello, Giuliana; Lanzarone, Ettore; Yalçındağ, Semih

doi:10.1016/j.ejor.2017.08.054

Cited by 29 publications

(12 citation statements)

References 47 publications

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“…Regarding objectives in production problems, scholars aimed to minimize production costs or control production variations. (Osorio et al 2017;Baş et al 2018).…”

Section: Blood Supply Chain Planningmentioning

confidence: 99%

A blood supply chain network design with interconnected and motivational strategies: a case study

Kohneh

Derikvand

Amirdadi

et al. 2021

J Ambient Intell Human Comput

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In the aftermath of a disaster, acquiring and fulfilling blood demand is essential to prevent further loss of lives. Consequently, in recent years, the concept of blood supply chain design for disaster relief has gained immense importance. This article addresses this issue by developing a novel bi-objective scenario-based mathematical model to minimize the system's costs while enhancing the blood supply rate. The proposed framework encompasses three echelons of blood centers, hospitals, and backup blood centers. The model is developed using a set of techniques, including backup coverage, lateral transshipment, gift card, buffer storage, and blood transfusion. This specific combination aims to reduce blood shortages in the system by improving the coordination among different echelons of the network and encouraging more eligible individuals to donate blood. Next, the model is evaluated by applying it to a case study concerning a probable dangerous earthquake in Tehran capital of Iran. Furthermore, a Lagrangian relaxation method is implemented on the model to improve its capability in dealing with larger-scale problems with higher efficiency. Finally, the results and analysis demonstrate our approach's validity and advantages in satisfying the blood demand in a disaster time.

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“…Regarding objectives in production problems, scholars aimed to minimize production costs or control production variations. (Osorio et al 2017;Baş et al 2018).…”

Section: Blood Supply Chain Planningmentioning

confidence: 99%

A blood supply chain network design with interconnected and motivational strategies: a case study

Kohneh

Derikvand

Amirdadi

et al. 2021

J Ambient Intell Human Comput

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“…A cadeia de suprimento de sangue consiste nas atividades típicas de uma cadeia de suprimento com foco na produção e distribuição do sangue, sendo segmentada em quatro etapas principais: coleta, processamento, armazenamento e distribuição, com alguns autores incluindo algumas segmentações mais detalhadas em seus modelos (Baş et al, 2018;Osorio, Brailsford, Smith, Forero-Matiz e Camacho-Rodriguez, 2017;Katsaliaski e Brailsford, 2007).…”

Section: Cadeia De Suprimento Do Sangueunclassified

“…Além disso, o uso de sangue e hemocomponentes é de responsabilidade do governo e seu custo é alto, pois necessita de tecnologia de ponta e recursos humanos altamente especializados, e tem seu fornecimento diretamente relacionado à doação voluntária (Brasil, 2010). Também, o sangue é um recurso limitado, uma vez que não pode ser produzido em laboratório, e de validade limitada, impossibilitando seu armazenamento por longo tempo (Baş et al, 2018). Essas particularidades evidenciam a necessidade de uma boa gestão dos processos da empresa dado seu alto custo de operação e da importância e fragilidade do produto que lidam.…”

Section: Introductionunclassified

Análise da influência do número de candidatos a doação de sangue no lead time de um doador em um Hemocentro

Santana

Murase

Carreira

et al. 2021

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Objetivo: Determinar o lead time do processo de doação de sangue em um hemocentro e avaliar como ele varia com o aumento do número de doadores candidatos.Metodologia: Os processos de doação de sangue foram mapeados utilizando técnicas de mapeamento de processos. Tais processos foram, então, convertidos em modelos de simulação de eventos discretos. As funções que descrevem cada processo foram calculadas via software Expertfit. Para identificação da correlação entre o lead time e o número de candidatos a doação, utilizou-se o método do coeficiente de correlação linear.Originalidade/relevância: O estudo avança na literatura de gestão de operações demonstrando a eficácia do método de modelagem e simulação de processos para avaliação e predição de impactos em processos no contexto de doação de sangue.Principais resultados: Foi possível determinar o lead time médio do processo de doação de sangue, com 95% de nível de confiança e 5% de erro. Em relação à correlação linear entre as variáveis, o coeficiente calculado resultou em 0,3, indicando não haver correlação.Contribuições teóricas/metodológicas: A pesquisa pode melhor evidenciar o uso de técnicas de modelagem e simulação de sistemas para gerenciamento de processos altamente estocásticos.

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“…Blood preservation for immediate supply in the case of unexpected demand can be a daunting task. One reason is blood products are perishable commodities so have limited shelf life [3]- [6], which is coupled with the complexity of blood compatibility between different red blood cell types and the stochastic nature of daily blood demand and supply [7]- [9]. Therefore, it is necessary to devise more efficient and effective ways in which blood products can be stored and assigned to individuals in need.…”

Section: Introductionmentioning

confidence: 99%

Computational Intelligence Approach to Dynamic Blood Allocation With ABO-Rhesus Factor Compatibility Under Real-World Scenario

et al. 2020

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The supply chain management of blood products specifically deals with the aspect of efficient planning, implementing, and controlling of the in and out flow processes of blood unity in the blood bank system. Therefore, any improvement in the management of these chains would directly influence the manner in which blood and blood products are distributed to all the various sectors requiring such scarce and precious resources. Generally, the management of blood products is difficult due to the four ABO blood groups, which is further complicated by positive/negative rhesus factors. In this paper, a more simplified and robust dynamic mathematical model is presented for the efficient management of the blood bank. The corresponding sets of governing equations from an existing model are extended to cover the rhesus factors and the solution methods of the newly derived equations are subsequently investigated. In addition, a mathematical representation of the decision making process is presented as a function of the blood bank stockpile. Furthermore, in order to demonstrate the robustness of the developed model and to provide managerial insights, a new global hybrid symbiotic organisms search genetic particle swarm optimization algorithm is developed. Several numerical computations are performed using real-world datasets from the Enugu National Blood Transfusion Centre, in Nigeria, which fall within the monthly initial blood volume bounds of 300 over a period of eight years (2010-2018). Finally, the experimental results show that the mathematical model and metaheuristic optimization method proposed in this paper offer a better solution approach for blood allocation in dynamic environments. More so, the impact of some essential control parameters on the results are analysed to help the blood bank managers or decision makers to select accurately the desired parameters for optimal results yield.

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An appointment scheduling framework to balance the production of blood units from donation

Cited by 29 publications

References 47 publications

A blood supply chain network design with interconnected and motivational strategies: a case study

A blood supply chain network design with interconnected and motivational strategies: a case study

Análise da influência do número de candidatos a doação de sangue no lead time de um doador em um Hemocentro

Computational Intelligence Approach to Dynamic Blood Allocation With ABO-Rhesus Factor Compatibility Under Real-World Scenario

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