Blood inventory management in hospitals: Considering supply and demand uncertainty and blood transshipment possibility

Najafi, Mehdi; Ahmadi, Ali; Zolfagharinia, Hossein

doi:10.1016/j.orhc.2017.08.006

Cited by 78 publications

(50 citation statements)

References 45 publications

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“…The concept of energy consumption was not included in this study. Najafi et al [13] looked at the uncertainty of blood demand and supply and the possibility of blood transshipment, but they did not consider the perishability factor or the effect of energy. Ensafian et al [14] considered a platelet supply chain in which the demand is age-differentiated by the type of patient.…”

Section: Healthcare Supply Chain Managementmentioning

confidence: 99%

Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption

Jemai

Sarkar

2019

Energies

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The perishability of blood platelets complicates the management of their supply chain. This paper studies the impact of energy consumption and carbon emissions of transportation activities in a blood platelet supply chain. Energy consumption and carbon emissions vary significantly, and the effective location-allocation of blood facilities is a key strategy for the optimal use of energy. The total cost of the supply chain for perishable products is minimized when energy consumption is optimized. The proposed model is too complex to be solved with existing methodologies; therefore, mathematical tools are used to solve it. A numerical experiment is carried out to validate the proposed model, and graphical representations are presented for better visualization of the study’s outcomes. The results of the numerical studies confirm that the selected locations of blood facilities are optimal for the maximization of energy efficiency and minimization of the total cost.

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Section: Healthcare Supply Chain Managementmentioning

confidence: 99%

Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption

Jemai

Sarkar

2019

Energies

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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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“…This scenario can further be demonstrated by an individual who is exposed to sudden onsets of trauma and is in need of immediate attention or WB unit's transfusion. Blood preservation for onset supply in the case of unexpected demand can be a daunting task because the blood product is considered a perishable commodity due to its limited shelf life [5]- [8], coupled with the complexity of blood compatibility and the stochastic nature of daily blood demand and supply [9]- [11]. 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%

A Symbiotic Organisms Search Algorithm for Optimal Allocation of Blood Products

Govender

Ezugwu

2019

IEEE Access

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The blood assignment problem is an important real-world optimization problem because of the continuous demand for blood transfusion during medical emergencies. The formulation of this problem stretches from managing critical blood shortage levels and blood unit expiration, to blood compatibility between donor and patients. Another contributing factor to the blood assignment problem lies in the blood bank having to import additional blood units from external sources when supply cannot meet the demand. These challenges have serious consequences especially in the case where the demand for the blood is very high. Therefore, there is the need to minimize blood product wastage with regards to expiration and importation, whilst maximizing product delivery to patients in need. To solve this problem, existing studies used fixed percentage bounds to generate values for demand and supply of whole blood units. However, in this paper, a different approach is considered when generating such values, which involves allocating a unique percentage bound to each month. The bounds conform to statistics taken from South African social behavior with the attempt at generating values which mimic real-life monthly demand and supply of whole blood units. Furthermore, this study implements a hybrid metaheuristic algorithm that combines symbiotic organisms search algorithm with the blood assignment policy in relation to the blood banks of South Africa to effectively minimize the operational costs of the blood transfusion centers. The computational results indicate that the proposed algorithm performed quite satisfactorily from the computational time, stockpiling , and low importation level points of view. INDEX TERMS Blood assignment problem, blood product, blood group, blood compatibility, symbiotic organisms search algorithm, SOS.

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Blood inventory management in hospitals: Considering supply and demand uncertainty and blood transshipment possibility

Cited by 78 publications

References 45 publications

Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption

Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption

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

A Symbiotic Organisms Search Algorithm for Optimal Allocation of Blood Products

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