Study on the Centralization Strategy of the Blood Allocation Among Different Departments within a Hospital

Duan, Jingnan; Su, Qiang; Yu, Zhu; Lu, Yanxia

doi:10.1007/s11518-018-5377-5

Cited by 12 publications

(4 citation statements)

References 24 publications

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“…To this end, they used a discrete simulation model without performing mathematical modeling for activities such as blood donation, testing, and product production. Duan et al [16] provided a red blood cell supply chain at the hospital level with eleven departments designed in an MIP model. They adjusted the inventory and the optimal allocation of blood to each department with the aim of minimizing costs, scarcity, and blood loss.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraints (14) and (15) show that only one mobile blood collection facility must go anywhere and that each mobile facility can only go to one place. Constraint (16) emphasizes that the movement of a mobile facility from the first to the second place is possible if that facility was located in the first place in the previous period. Constraints (17) and (18) state that each donor group can be allocated only to one of the associated centers.…”

Section: Problem Descriptionmentioning

confidence: 99%

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A Multiobjective Model for a Multilevel Blood Supply Chain to Improve the Attractiveness of Blood Centers during the COVID-19 Pandemic

Esfandabadi,

Shishebori,

Fakhrzad

et al. 2024

Modelling and Simulation in Engineering

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Failure to control crisis conditions leads to irreparable damage to many supply chains around the world, including blood supply chains (BSCs) as critical networks in the health system. Consequently, it significantly reduces the supply of blood and its products, as vital materials, and exerts detrimental effects on the activities of blood organizations and facilities as well as the health of individuals in society. In the present study, the proposed model seeks to simultaneously minimize the operating costs and the shortage of blood products with the aim of improving the attractiveness of blood centers during the COVID-19 pandemic. Accordingly, by optimizing the overall cost and the attractiveness of blood donation centers, an attractive efficient environment is provided. It can help to remove barriers to blood donation and improve blood health. To this end, the model takes certain strategies into account for the proper establishment of new local blood collection centers (BCCs) and mobile BCCs. It also arranges suitable transportation vehicles for the efficient transfer of blood products to the provincial centers of the candidate country and sets various incentive policies for blood donation. In order to minimize the costs of the entire supply chain network and maximize the attractiveness of the BCCs, a two-objective mathematical model is developed. It produces Pareto solutions using the ε-constraint method. Finally, the efficiency of the proposed approach and the sensitivity of the corresponding parameters are analyzed through a practical case study. The obtained results represent that a growth in the attractiveness of blood centers induces a raise in the number of donors, and, consequently, the amount of the donated blood grows. This depends on more investment at all levels of the supply chain, including collection, production, storage, and transportation. Moreover, the performance and attractiveness of a BSC can be enhanced significantly if the number of collection centers and the amount of blood sent from the receiving centers to the demand nodes are increased.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

A Multiobjective Model for a Multilevel Blood Supply Chain to Improve the Attractiveness of Blood Centers during the COVID-19 Pandemic

Esfandabadi,

Shishebori,

Fakhrzad

et al. 2024

Modelling and Simulation in Engineering

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“…When designing a CLBSCN, the degree of uncertainty has a major impact on the CLBSCN. Some studies considered supply and demand parameters as deterministic (Duan et al, 2018 ; Maeng et al, 2018 ; Sawadogo et al, 2019 ; Vermeulen et al, 2019 ); others treated them as stochastic (Ayer et al, 2018 ; Dehghani & Abbasi, 2018 ; Lowalekar & Ravichandran, 2017 ). Also, a few studies considered them a fuzzy number (Eskandari-Khanghahi et al, 2018 ; Rabbani et al, 2017 ; Samani & Hosseini-Motlagh, 2019 ; Zahiri & Pishvaee, 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

et al. 2022

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Reconfiguring the structure of the supply chain network is one of the most strategic and vital decisions in designing a supply chain network. In this study, a Closed-Loop Blood Supply Chain Network (CLBSCN) considering blood group compatibility, ABO-Rh(D), and blood product shelf life has been studied to determine the best strategic and tactical decisions simultaneously considering lateral resupply/transshipment and service-level maximization. Several vital parameters, including supply and demand, are considered fuzzy numbers to approximate reality due to the nature of the world. Furthermore, two crucial factors include ABO-Rh(D) and blood product shelf life considered, while the concept of lateral resupply governs the interconnections of hospitals’ excess blood units. We propose a fuzzy multi-objective Mixed-Integer Non-Linear Programming (MINLP) model to consider two critical objective functions: minimizing the total costs of the network and maximizing the minimum service level to the patients at each Hospital. The fuzzy multi-objective MINLP model is converted to a deterministic multi-objective model using the equivalent auxiliary crisp model to deal with uncertainty. Then, by utilizing two interactive fuzzy solution approaches, the results have been compared based on a real case study to suggest the best solution for the proposed model. Also, we conduct sensitivity analysis on essential parameters such as demand, supply, and capacity to understand how these parameter variations impact two proposed objective functions. Then, the proposed model is tested on a real case study for model validation. The results confirmed that considering the lateral resupply could significantly save the costs of the designed network by a total of $343,000. Interestingly, maximizing the minimum service level at hospitals increased the service level from 58% to 68%.

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“…Past research has accounted for demand uncertainty in model development, but they have not considered supply uncertainty. For example, Duan & Liao (2013, 2014 and Duan & Lu (2018) have attempted to reduce the number of outdated blood products, but they should have noticed the impact of uncertain supply on product obsolescence. Another study related to distribution in healthcare supply chain management is the optimization of the COVID-19 vaccine distribution (Lusiantoro et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Improving Blood Bank Performance in A Decentralised Blood Supply Chain Using Discrete Event Simulation

Mansur

Vanany

Arvitrida

2023

OSCM: An Int. Journal

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Indonesian Red Cross (IRC) is assigned to operate the blood bank in Indonesia's blood supply chain system. Due to the system decentralization, the regional blood banks are responsible for providing blood supply in their municipal area. Blood banks need to meet certain performance indicators to minimize shortages and outdated blood bags and generate sufficient income to cover operational costs and organizational development. This research aims to build a blood-bank management model by focusing on a multi-product arrangement and considering the unpredictability of supply and demand. Discrete event simulation was used to model the actual system and evaluate policy options to enhance blood bank performance. The simulation experimentation examines four control variables: supply arrangements based on Fixed Location Service (FLS), Mobile Unit Service (MUS), inventory target, and the setting of output product percentages. This study successfully provided solutions that can enhance the quality and efficiency of blood bank services. In this study, each scenario reveals the trade-off between the extent of the shortage and the level of obsolescence. The regulatory environment where donors are recruited greatly impacts shortages, obsolescence, and net income. Blood bank management must create an optimum targeted service level and revenue expectation to make strategic decisions.

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Study on the Centralization Strategy of the Blood Allocation Among Different Departments within a Hospital

Cited by 12 publications

References 24 publications

A Multiobjective Model for a Multilevel Blood Supply Chain to Improve the Attractiveness of Blood Centers during the COVID-19 Pandemic

A Multiobjective Model for a Multilevel Blood Supply Chain to Improve the Attractiveness of Blood Centers during the COVID-19 Pandemic

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

Improving Blood Bank Performance in A Decentralised Blood Supply Chain Using Discrete Event Simulation

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