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A simulation model for blood supply chain systems
Evrim Yuzgec
, Ying Han
, Nagendra Nagarur
Information Management and Business Analytics
Research output
:
Contribution to conference
›
Paper
›
peer-review
3
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Scopus citations
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Dive into the research topics of 'A simulation model for blood supply chain systems'. Together they form a unique fingerprint.
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Keyphrases
Simulation Model
100%
Inventory Level
100%
Blood Supply Chain
100%
Supply Chain System
100%
Blood Transfusion
66%
Banking System
66%
Regionalized
66%
Demand Points
66%
Network Operation
66%
Blood Banking
66%
System Performance
33%
Network Topology
33%
Health Systems
33%
Performance Parameters
33%
Life-and-death
33%
Transfusion
33%
Supply Coordination
33%
Inventory Distribution
33%
Distribution Center
33%
Supply Chain Operations
33%
Distribution Planning
33%
Blood Type
33%
Satisfaction Rate
33%
Blood Storage
33%
Blood Distribution
33%
Blood Center
33%
Demand Satisfaction
33%
Transfusion Burden
33%
Donor Pool
33%
Rate Demand
33%
Computer Science
Blood Supply Chain
100%
Inventory Level
100%
Simulation Model
100%
Banking System
66%
Network Operation
66%
Systems Performance
33%
Network Topology
33%
Performance Parameter
33%
Satisfaction Rate
33%
Supply Chain Operation
33%
Engineering
Simulation Model
100%
Inventory Level
100%
Limitations
33%
Network Topology
33%
Systems Performance
33%
Erythrocyte
33%
Performance Parameter
33%
Main Constituent
33%
Medicine and Dentistry
Vascularity
100%
Blood Transfusion
100%
Health Care Cost
50%
Blood Storage
50%
Erythrocyte
50%
Mathematics
Simulation Model
100%
Alternative Scenario
50%
Blood Type
50%
Distribution Center
50%
Social Sciences
Supply Chain Management
100%
Legislation
50%
Transport
50%