Blood inventory management: Ordering policies for hospital blood banks under uncertainty

Meneses, Maria; Marqués, Inês; Barbosa‐Póvoa, Ana Paula

doi:10.1111/itor.12981

Cited by 13 publications

(6 citation statements)

References 34 publications

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“…Franco and Alfonso-Lizarazo (2020) constructed two-stage mixed-integer programming models based on simulation-driven optimization methods for strategic and operational decisions in pharmaceutical supply chains, in which uncertainty appears in the demand, lead times, and costs of medicines. Meneses et al (2023) investigated the blood inventory management problem with uncertainty in demand and constructed a two-stage SP model. Li et al (2022) examined the issues of blood component preparation and inventory management under uncertainty in the whole blood supply and blood component demand.…”

Section: Literature Reviewmentioning

confidence: 99%

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Two‐stage distributionally robust optimization model for a pharmaceutical cold supply chain network design problem

Liu

Yang

2023

Int Trans Operational Res

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Pharmaceutical safety has received increasing attention from governments and corporations, and building a safe and effective pharmaceutical cold supply chain network has become an important issue. This paper proposes a two‐stage pharmaceutical cold supply chain network design problem considering drug safety, in which the drug demand, transportation costs, and drug safety risk costs are assumed to be random variables. Due to the presence of uncertainty and the fact that information about the distribution of uncertain parameters is often only partially known, a distributionally robust optimization method is used to handle the uncertainty. A two‐stage distributionally robust optimization model is constructed, in which the reliability of the estimation of the demand necessary to satisfy the entire cold chain network is ensured to be greater than a certain predetermined level by introducing an ambiguous joint chance constraint. The decision process for the problem can be divided into strategic and operational decisions with the goal of minimizing the total costs related to facility construction, the purchase of raw materials, drug production, transportation, and safety risks. By introducing an ambiguity set with mean and covariance information to describe the uncertain parameters, the two‐stage model is eventually reformulated as a standard second‐order cone program, thus making it computationally tractable. Finally, numerical experiments are presented to demonstrate the effectiveness of the proposed models and optimization methods.

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Section: Literature Reviewmentioning

confidence: 99%

“…Meneses et al. (2023) investigated the blood inventory management problem with uncertainty in demand and constructed a two‐stage SP model. Li et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Two‐stage distributionally robust optimization model for a pharmaceutical cold supply chain network design problem

Liu

Yang

2023

Int Trans Operational Res

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“…Using stochastic programming, a model was created for managing HBBs (Meneses et al, 2021). However, there exists another model which includes an ABO substitution that minimizes wastages, shortages, and overall costs associated with BIM (Attari and Abdoli, 2020).…”

Section: Research Historymentioning

confidence: 99%

Amelioration in cross-matching policy with subtypes of A for priority-based demand

Chithraponnu¹,

Umamaheswari²

2023

Int. j. adv. appl. sci.

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Blood transfusion is a medical procedure that requires prolonged intervention. In clinical treatment, red blood cells (RBCs) play a vital role and most demanded product in blood transfusion. The ABO/RhD system was considered in several research projects in the absence of subtypes of blood inventory management (BIM). In the issuing process, without considering the age of the blood, it becomes a risk factor for the recipient after transfusion. To overcome this problem and provide effective treatment, BIM should enhance its stock of specific subtypes and classify the blood's age (shelf-life). In past, no studies on issuing policies have examined A_1 A_2 BO substitution in inventory management with a new A_1 A_2 BO compatible and A_2 O priority table. For this reason, in this paper blood units of different ages are examined from two perspectives: (1) the current age of each unit and its substitution possibilities, and (2) providing effective medical services. Furthermore, the proposed system can determine the optimal order up to level quantities. Medical procedures and inventory management can both be managed effectively with this model. Hence, the goal of this research proposal is to minimize wastage and shortages along with service level substitution with age-dependent demand. By providing a numerical example, the model can validate the fact that compatibility substitution reduces wastage and blood shortages. Using a cross-matching policy, the enhanced model significantly improves the objective of this model compared to ABO substitution.

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“…The most studied stage in BSC, the inventory stage, is considered in 153 articles out of the total 262 classified articles. A great part of the latter-day studies focused on the inventory stage try to determine optimal or near-optimal ordering policies [44,[111][112][113][114]. Some consider issuance policies along with ordering policies [69,[115][116][117]; however, only a limited number of articles focus on issuance policies alone [68,74].…”

Section: Inventorymentioning

confidence: 99%

A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy

Imamoglu

Topçu

Aydın

2023

Systems

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The blood supply chain is an inseparable part of health systems. The importance of blood and the difficulties of managing the blood supply chain have led to numerous publications on this topic over the last two decades. This study seeks to reveal the state of the art of the blood supply chain and provide research gaps and future research directions. For this purpose, a mixed review methodology is conducted that includes bibliometric analysis, network analysis, and a six-dimension taxonomy. Bibliometric analysis identifies the most contributing journals, authors, and countries as well as provides popular keywords, while network analysis reveals interactions between these components. Taxonomy clarifies decision models and research gaps with a deeper examination. The electronic database Web of Science is examined to uncover relevant articles. In total, 265 articles are analyzed in detail. The findings reveal that the blood supply chain gathers more interest from researchers, and despite the continuing dominance of the inventory stage, there is an upward trend in the literature for the research of the blood supply chain as a whole. Optimization techniques come forward in the blood supply chain topic as solution methodology. In accordance with the results of bibliometric analysis, network analysis, and taxonomy, six prospective directions for future research are emphasized.

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Blood inventory management: Ordering policies for hospital blood banks under uncertainty

Cited by 13 publications

References 34 publications

Two‐stage distributionally robust optimization model for a pharmaceutical cold supply chain network design problem

Two‐stage distributionally robust optimization model for a pharmaceutical cold supply chain network design problem

Amelioration in cross-matching policy with subtypes of A for priority-based demand

A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy

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