A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand
International Journal of Intelligent Information Systems
Volume 5, Issue 6, December 2016, Pages: 94-103
Received: Oct. 23, 2016; Accepted: Nov. 7, 2016; Published: Dec. 29, 2016
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Authors
Ping Hu, College of Computer and Information Technology, China Three Gorges University, Yichang, China
Yufang Li, College of Economics and Management, China Three Gorges University, Yichang, China
Ximin Zhou, College of Computer and Information Technology, China Three Gorges University, Yichang, China
Zhengying Cai, College of Computer and Information Technology, China Three Gorges University, Yichang, China
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Abstract
Generally, it is very difficult to determine the medicine supply in hospital under uncertain environment. Here, the medical supply decision problem in uncertain environment is modeled as a fuzzy multi-objective linear programming model. First, the medicine supply in hospital management system is analyzed and the uncertainties in medicine supply are modeled as fuzzy numbers. Second, a fuzzy medicine scheduling is built to fit the uncertain demand and the solving steps are illustrated too. Third, a numerical example is presented to demonstrate the proposed model, and the compared results verify its effectiveness. Last, some important conclusions and future work are sum up at the end of the paper.
Keywords
Fuzzy Scheduling, Medicine Supply, Hospital Decision, Uncertain Demand
To cite this article
Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai, A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand, International Journal of Intelligent Information Systems. Vol. 5, No. 6, 2016, pp. 94-103. doi: 10.11648/j.ijiis.20160506.13
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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