An Emergency Blood Allocation Approach Considering Blood Group Compatibility in Disaster Relief Operations

Ma, Zhenjun; Wang, Keming; Ding, Ying

doi:10.1007/s13753-018-0212-7

Cited by 25 publications

(8 citation statements)

References 39 publications

(35 reference statements)

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“…Zepeda et al (2014Zepeda et al ( , 2016 and Stanger et al (2013) explicitly focus on risk pooling or pooling in short. Diamant et al (2018) and Ma et al (2019) describe the risk pooling effect without mentioning the term. Joustra et al (2010) analyze the effect of pooling queues of urgent and regular patients on waiting times and capacities required.…”

Section: Theoretical Background On Risk Pooling Methods In Healthcarementioning

confidence: 99%

Exploring risk pooling in hospitals to reduce demand and lead time uncertainty

Oeser

Romano

2020

Oper Manag Res

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Nearly every eighth German hospital faces an elevated risk of bankruptcy. An inappropriate use of inventory management practices is among the causes. Hospitals suffer from demand and lead time uncertainty, and the current COVID-19 pandemic worsened the plight. The popular business logistics concept of risk pooling has been shown to reduce these uncertainties in industry and trade, but has been neglected as a variability reduction method in healthcare operations research and practice. Based on a survey with 223 German hospitals, this study explores how ten risk pooling methods can be adapted and applied in the healthcare context to reduce economic losses while maintaining a given service level. The results suggest that in general risk pooling may improve the economic situation of hospitals and, in particular, inventory pooling, transshipments, and product substitution for medications and consumer goods are the most effective methods in the healthcare context, while form postponement may be unsuitable for hospitals due to the required efforts, delay in treatments, and liability issues. The application of risk pooling in healthcare requires willingness to exchange information and to cooperate, adequate IT infrastructure, compatibility, adherence to healthcare laws and regulations, and securing the immediate treatment of emergencies. Compared to manufacturing and trading companies, hospitals seem to currently neglect the variability reducing effect of risk pooling.

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Section: Theoretical Background On Risk Pooling Methods In Healthcarementioning

confidence: 99%

Exploring risk pooling in hospitals to reduce demand and lead time uncertainty

Oeser

Romano

2020

Oper Manag Res

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“…One of the main challenges in operating the supply chain of blood products is the highly stochastic nature of both the supply and the demand. Despite the importance of these considerations, many works have opted to model their supply as deterministic ( Chung and Erhun, 2013 , Ensafian and Yaghoubi, 2017 , Haghjoo et al, 2020 , Hosseinifard and Abbasi, 2018 , Ma et al, 2019 , Nahmias, 1982 ). The work of Ma et al (2019) formulates a mathematical model using integer programming that introduces a novel method to prioritize blood substitution and substitution rates.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Despite the importance of these considerations, many works have opted to model their supply as deterministic ( Chung and Erhun, 2013 , Ensafian and Yaghoubi, 2017 , Haghjoo et al, 2020 , Hosseinifard and Abbasi, 2018 , Ma et al, 2019 , Nahmias, 1982 ). The work of Ma et al (2019) formulates a mathematical model using integer programming that introduces a novel method to prioritize blood substitution and substitution rates. However, both their supply and demand are considered to be deterministic.…”

Section: Literature Reviewmentioning

confidence: 99%

The supply chain of blood products in the wake of the COVID-19 pandemic: Appointment scheduling and other restrictions

Kenan

Diabat

2022

Transportation Research Part E: Logistics and Transportation Re

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In this work, we formulate the blood products supply chain problem in the wake of disasters such as the COVID-19 (SARS-CoV-2) pandemic using two-stage stochastic programming where uncertainty of both demand and supply is considered. The products considered are red blood cells (RBCs), plasma, and platelets. Age-based demand and blood type substitution are included in our model. A heuristic is developed to solve the instances a commercial optimization software failed to solve in a reasonable amount of time. To obtain managerial insight a sensitivity analysis is conducted. Results of the analysis show that bigger capacities of permanent collection facilities are favored over the mobility of temporary facilities while accounting for blood substitution and age-based demand in the planning phase reduced shortages significantly. Moreover, different objective functions were considered to ensure fairness in distribution of the products among hospitals. The fairer distribution resulted in an increase in the total unmet demand.

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“…Constraint (13) provides the maximum allowed time for consuming the plasma. Constraint (14) relates to the operation time at the collecting center and indicates that the operation time at the collecting center should not exceed a certain limit. Constraint (15) relates to the operation time in the lab and indicates that the operation time of the lab should not exceed a certain limit.…”

Section: Model Formulationmentioning

confidence: 99%

A Blood Supply Chain Network with Backup Facilities Considering Blood Groups and Expiration Date: A Real-world Application

Asadpour

Boyer

Tavakkoli–Moghaddam

2021

IJE

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The purpose of this paper is to design a green Blood Supply Chain (BSC) network regarding expiration date and backup facilities. The proposed model is a bi-objective Mixed Integer Programming (MIP) one. The two objective functions are to minimize the total cost and the detrimental environmental impacts of shipping between facilities and generated wastes in the network. A Goal Programming (GP) approach is used to convert the multi-objective model into a single one. Moreover, to meet the demand, blood groups and plasma expiration date are also investigated. Since it has been proven that plasma of the people who have fully recovered from COVID-19, can help other patients to recover from this insidious disease; therefore, the proposed BSC network can supply the needs of this particular category of patients as well.To examine the feasibility of the proposed model, some random examples with different dimensions are generated and solved using the CPLEX solver of GAMS software. Furthermore, a real-case problem in Esfahan (Iran) was investigated to illustrate the applicability of the proposed model, and the sensitivity analysis was performed as well. Results approved the applicability of the proposed model in a real situation.

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An Emergency Blood Allocation Approach Considering Blood Group Compatibility in Disaster Relief Operations

Cited by 25 publications

References 39 publications

Exploring risk pooling in hospitals to reduce demand and lead time uncertainty

Exploring risk pooling in hospitals to reduce demand and lead time uncertainty

The supply chain of blood products in the wake of the COVID-19 pandemic: Appointment scheduling and other restrictions

A Blood Supply Chain Network with Backup Facilities Considering Blood Groups and Expiration Date: A Real-world Application

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