Optimization of Blood Supply Chain Using Taguchi Orthogonal Method: A Case Study of M Y Hospital

2018 ◽  
Vol 11 (10) ◽  
Author(s):  
Ajay Aglecha ◽  
ravi nagaich
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Orthogonal Method ◽  
Blood Supply Chain

Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study

2018 ◽  
Vol 291 (1-2) ◽  
pp. 129-167 ◽  
Author(s):  
Sara Cheraghi ◽  
Seyyed-Mahdi Hosseini-Motlagh
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Disaster Relief ◽  
Real Case ◽  
Blood Supply Chain

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 Blood Supply Chain Risk Management using House of Risk Model

2018 ◽  
Vol 16 (8) ◽  
pp. 573-591
Author(s):  
Wijai BOONYANUSITH ◽  
Phongchai JITTAMAI
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Blood Supply ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Demand And Supply ◽  
Management Actions ◽  
Blood Supply Chain

Managing blood supply chain has been an important task in the healthcare system because it has to confront not only blood demand and supply uncertainties but also complexities in blood inventory management. In order to overcome these challenges, it is essential to explore the possible risks that could occur in the blood supply chain and discover proper ways to manage these risks. Therefore, this research aims to investigate risks in blood supply chain by using a proactive risk management tool called ‘house of risk’ (HOR) model, in order to conduct risk assessment and evaluate risk management actions. A case study of blood supply chain risk management was analyzed, and the HOR model was incorporated to appraise the appropriate actions in the real situation. The results indicate that there are 30 risk events and 16 risk agents identified and assessed in the case study. The outcomes point out that lack of collaboration, insufficient information for decision-making, and limited information sharing are the top 3 risk agents that contribute to significant impact on blood supply chain management. Risk mitigation and management actions were evaluated and the results show that enhancing the collaboration is the most proactive action to manage risks in the blood service operations, followed by information sharing, and demand and supply statistical analysis. The study has recommended the outlines for improving collaboration between blood service organizations by using information system and technology to mitigate risks, complexities, as well as uncertainties in managing demand and supply in the blood supply chain.

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

Blood supply chain operation considering lifetime and transshipment under uncertain environment

2021 ◽  
pp. 107364
Author(s):  
Yufeng Zhou ◽  
Tiange Zou ◽  
Changshi Liu ◽  
Hongxia Yu ◽  
Liangyong Chen ◽  
...  
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Uncertain Environment ◽  
Chain Operation ◽  
Blood Supply Chain ◽  
Supply Chain Operation
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