Inventory Management in Blood Banks

Lowalekar, Harshal; Ravichandran, N.

doi:10.1007/978-1-4939-1007-6_18

“…These challenges demonstrate that collecting, providing, transfusing, and storing blood is intricate and complex, particularly when aligning hospital demand for blood products with blood availability. Furthermore, we must consider that there are several blood kinds, and not all of them may be utilized for transfusion, depending on finding a suitable blood type for the patient (Hawashin et al, 2019) (Lowalekar & Ravichandran, 2015).…”

Section: Intelligent Blood Bank Systemmentioning

confidence: 99%

Proposed A Web-Based Intelligent System to Manage the Blood Bank in Zakho District

2024

QZJ

1

0

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Due to the difficulty and rarity of the data tab in blood banks, information is often lost or forgotten. Because of this, it is important to have a number of different types of blood and know the total number of blood donors, as well as the number of units of blood imported and exported daily, monthly, or yearly. A web-based intelligent system is a web site that was created to manage the Zakho blood bank by using middleware languages like PHP that were used as transformer languages between MySQL databases as well as back-end web languages like HTML, CSS, and JavaScript that power up the front end, thus accelerating the management of blood import and export and accurately tabulating the blood donors' profiles so hospitals can get facilities that reduce the emergency cases that occur. Machine learning, deep learning, and an algorithm based on long short-term memory (LSTM) and based on time series have been used to predict an estimation of red blood cells (RBC) for periods (weekly, monthly, and yearly) that facilitate attracting the donors and importing and exporting the amount of blood that is needed in the future, and the algorithm produced these results (MAPE 3.259

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“…These challenges demonstrate that collecting, providing, transfusing, and storing blood is intricate and complex, particularly when aligning hospital demand for blood products with blood availability. Furthermore, we must consider that there are several blood kinds, and not all of them may be utilized for transfusion, depending on finding a suitable blood type for the patient (Hawashin et al, 2019) (Lowalekar & Ravichandran, 2015).…”

Section: Intelligent Blood Bank Systemmentioning

confidence: 99%

Proposed A Web-Based Intelligent System to Manage the Blood Bank in Zakho District

2023

QZJ

0

View full text Add to dashboard Cite

Due to the difficulty and rarity of the data tab in blood banks, information is often lost or forgotten. Because of this, it is important to have a number of different types of blood and know the total number of blood donors, as well as the number of units of blood imported and exported daily, monthly, or yearly. A web-based intelligent system is a web site that was created to manage the Zakho blood bank by using middleware languages like PHP that were used as transformer languages between MySQL databases as well as back-end web languages like HTML, CSS, and JavaScript that power up the front end, thus accelerating the management of blood import and export and accurately tabulating the blood donors' profiles so hospitals can get facilities that reduce the emergency cases that occur. Machine learning, deep learning, and an algorithm based on long short-term memory (LSTM) and based on time series have been used to predict an estimation of red blood cells (RBC) for periods (weekly, monthly, and yearly) that facilitate attracting the donors and importing and exporting the amount of blood that is needed in the future, and the algorithm produced these results (MAPE 3.259

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“…Inventory is the stage in the blood supply chain that has received the most attention in the literature. There has been much literature on inventory policies for blood products (Zhou et al, 2011;Abdulwahab and Wahab, 2014;Blake and Hardy, 2014;Duan and Liao, 2014;Zhu et al, 2014;Lowalekar et al, 2015;Dillon et al, 2017). Although several models are involved in the inventory management of multiple blood components (Telles et al, 2013;Gunpinar and Centeno, 2015;Lowalekar and Ravichandran, 2017), the components are assumed to be independent.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nevertheless, the salient features of blood components significantly increase the complexity of the preparation‐inventory problem, which is mainly manifested in the following aspects (Pierskalla, 2005; Lang, ; Lowalekar and Ravichandran, 2015; Osorio et al., 2015): (1) it is a production‐inventory problem involving multiple interdependent products; (2) all blood components are derived from whole blood in proportion, but their demand is diverse and not in the same proportion; (3) both the supply of whole blood and the demand for blood components are uncertain; and (4) blood is a specific perishable product, and different blood components have their respective shelf life.…”

Section: Introductionmentioning

confidence: 99%

Blood component preparation‐inventory problem with stochastic demand and supply

Li

¹

,

Ma

²

,

Yang

³

2021

Int Trans Operational Res

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Blood component preparation, which is the process of separating whole blood into components that are later used in hematotherapy, plays a significant role in the blood supply chain because it dramatically affects the component inventory levels in blood banks. A dynamic programming model is proposed for jointly optimizing the preparation and inventory management of blood components under uncertainty in both the supply of whole blood and the demand for blood components to better meet demand and manage component inventory levels. The combinations of five common methods for preparing blood components with filtration and centrifugation processes are considered, which generate diverse component varieties and volumes while incurring different costs. Moreover, downward substitution among different types of red blood cells is introduced. Subsequently, an approximate dynamic programming method is proposed to solve the problem of coping with its uncertain characteristics. The results of the computational study show that the proposed model and algorithm lead to superior performance compared to the preparation method combinations currently applied in North America, Europe, and China, thus providing a helpful guide on blood component preparation and inventory management in blood banks.

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Inventory Management in Blood Banks

Cited by 8 publications

References 9 publications

Proposed A Web-Based Intelligent System to Manage the Blood Bank in Zakho District

Proposed A Web-Based Intelligent System to Manage the Blood Bank in Zakho District

Proposed A Web-Based Intelligent System to Manage the Blood Bank in Zakho District

Blood component preparation‐inventory problem with stochastic demand and supply

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