Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis
Joint Authors
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-15
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Reform of drug procurement is being extensively implemented and expanded in China, especially in today’s big data environment.
However, the pattern of supply mode innovation lags behind procurement improvement.
Problems in financial strain and supply break frequently occur, which affect the stability of drug supply.
Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems.
From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run.
The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance.
This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems.
American Psychological Association (APA)
Wu, DengFeng& Mao, Hongyi. 2017. Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis. International Journal of Telemedicine and Applications،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1169731
Modern Language Association (MLA)
Wu, DengFeng& Mao, Hongyi. Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis. International Journal of Telemedicine and Applications No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1169731
American Medical Association (AMA)
Wu, DengFeng& Mao, Hongyi. Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis. International Journal of Telemedicine and Applications. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1169731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169731