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The Study of the Optimal Parameter Settings in a Hospital Supply Chain System in Taiwan
Joint Authors
Liao, Hung-Chang
Wang, Ya-huei
Chen, Meng-Hao
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This study proposed the optimal parameter settings for the hospital supply chain system (HSCS) when either the total system cost (TSC) or patient safety level (PSL) (or both simultaneously) was considered as the measure of the HSCS’s performance.
Four parameters were considered in the HSCS: safety stock, maximum inventory level, transportation capacity, and the reliability of the HSCS.
A full-factor experimental design was used to simulate an HSCS for the purpose of collecting data.
The response surface method (RSM) was used to construct the regression model, and a genetic algorithm (GA) was applied to obtain the optimal parameter settings for the HSCS.
The results show that the best method of obtaining the optimal parameter settings for the HSCS is the simultaneous consideration of both the TSC and the PSL to measure performance.
Also, the results of sensitivity analysis based on the optimal parameter settings were used to derive adjustable strategies for the decision-makers.
American Psychological Association (APA)
Liao, Hung-Chang& Chen, Meng-Hao& Wang, Ya-huei. 2014. The Study of the Optimal Parameter Settings in a Hospital Supply Chain System in Taiwan. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1051787
Modern Language Association (MLA)
Liao, Hung-Chang…[et al.]. The Study of the Optimal Parameter Settings in a Hospital Supply Chain System in Taiwan. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1051787
American Medical Association (AMA)
Liao, Hung-Chang& Chen, Meng-Hao& Wang, Ya-huei. The Study of the Optimal Parameter Settings in a Hospital Supply Chain System in Taiwan. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1051787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051787