scholarly journals A Mathematical Model for a Blood Supply Chain Network with the Robust Fuzzy Possibilistic Programming Approach: A Case Study at Namazi Hospital

2021 ◽  
Vol 34 (6) ◽  
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Blood Supply ◽  
Programming Approach ◽  
Supply Chain Network ◽  
Blood Supply Chain ◽  
Possibilistic Programming

Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

2019 ◽  
Vol 289 (1) ◽  
pp. 123-152 ◽  
Author(s):  
Soheyl Khalilpourazari ◽  
Shima Soltanzadeh ◽  
Gerhard-Wilhelm Weber ◽  
Sankar Kumar Roy
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Blood Supply Chain ◽  
Neural Learning

scholarly journals A MODEL FOR DESIGNING A BLOOD SUPPLY CHAIN NETWORK TO EARTHQUAKE DISASTERS (CASE STUDY: TEHRAN CITY)

2019 ◽  
Vol 13 (3) ◽  
pp. 605-624 ◽  
Author(s):  
Negar Armaghan ◽  
◽  
Mohsen Yaghoobi Pazani ◽  
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Blood Supply Chain

scholarly journals A Robust Mathematical Model for Blood Supply Chain Network using Game Theory

2021 ◽  
Author(s):  
Jaber Valizadeh ◽  
Uwe Aickelin ◽  
Hadi Akbarzadeh Khorshidi
Keyword(s):  
Mathematical Model ◽  
Game Theory ◽  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Blood Supply Chain

scholarly journals Mathematical modeling for optimizing the blood supply chain network

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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