An updated review on blood supply chain quantitative models: A disaster perspective

: Blood and its products play an undeniable role in human life. In recent years, although both academics and practitioners have investigated blood-related problems, further enhancement is still warranted. In this study, a mixed-integer linear programming model was proposed for local blood supply chain management. A supply network, including temporary and fixed blood donation facilities, blood banks, and blood processing centers, was designed regarding the deteriorating nature of blood. The proposed model was applied in a real case in Urmia, Iran. The numerical results and sensitivity analysis of the key model parameters ensured the applicability of the proposed model.

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Robust Box Approach for Blood Supply Chain Network Design under Uncertainty: Hybrid Moth-Flame Optimization and Genetic Algorithm

International Journal of Innovation in Engineering ◽

10.52547/ijie.1.2.40 ◽

2021 ◽

Vol 1 (2) ◽

pp. 40-62

Author(s):

Javid Ghahremani-Nahr ◽

Hamed Nozari ◽

Mehrnaz Bathaee

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Network Design ◽

Blood Supply ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Design Under Uncertainty ◽

Blood Supply Chain

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Mathematical modeling for optimizing the blood supply chain network

Modern Supply Chain Research and Applications ◽

10.1108/mscra-09-2020-0024 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Amir Rahimzadeh Dehaghani ◽

Muhammad Nawaz ◽

Rohullah Sultanie ◽

Tawiah Kwatekwei Quartey-Papafio

Keyword(s):

Supply Chain ◽

Blood Supply ◽

Supply Chain Network ◽

Distribution Centers ◽

Nsga Ii ◽

Content Type ◽

Supply Chain Networks ◽

Multi Objective ◽

Blood Supply Chain ◽

The Cost

PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.FindingsA novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.Originality/valueBy building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

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An enhanced procedure for managing blood supply chain under disruptions and uncertainties

Annals of Operations Research ◽

10.1007/s10479-018-2873-4 ◽

2018 ◽

Vol 283 (1-2) ◽

pp. 1413-1462 ◽

Cited By ~ 15

Author(s):

Mohammad Reza Ghatreh Samani ◽

Seyyed-Mahdi Hosseini-Motlagh

Keyword(s):

Supply Chain ◽

Blood Supply ◽

Blood Supply Chain

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