Abstract
In this paper, faced with the status that the waiting queue for the ophthalmic beds is increasingly longer and longer which is caused by FCFS (First come, First serve) rule and the number of new patients per day subject to various types of Poisson distribution, this paper solves the problem of bed arrangements model with the knowledge of the establishment of operations research. Also for a kind of patients occupying beds in a fixed program, the proportional allocation model of our own is established by actual test data and found good effect. Taking the factors of the gradual growth in queue is that the FCFS causes the additional occupied time of the beds into account, in this model, this paper regards the least wasting days as the objective function. Also the constraints, based on the assumption that beds every day are at full basis, are that on the same day ,the patient to be arranged is equal to be discharged and the number of arranged patients is not greater than the accumulative patients. So this paper comes to an arrangement for the least waiting time. According to the arrangement, by simulation, this paper concludes that there are 21 days for wasting of time and 42 times of turnover next week. Compared with 34 times of turnover by FCFS rule, efficiency of arrangement above is improved by 24%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhong, G., Wang, X.: Bed utilization index, objective analysis of the optimal index and rank and the ratio of hospital beds used in evaluating the efficiency of the application. Journal of Hospital Statistics 11, 114–116 (2004)
Hu, Y.: Operations Research and its application. Higher Education Press, Beijing (2008)
Jiang, Q., Xie, J., Ye, J.: Mathematical model. Higher Education Press, Beijing (2006)
Wan, X.: Probability Theory and Mathematical Statistics. Science Press, Beijing (2007)
Gao, L., Sun, D., Yue, Z.: Efficiency indicators of utilization of hospital beds hospital beds set up. The Situation of Hospital Statistics (2009)
He, X.: Multivariate Statistical Analysis, 2nd edn. Renmin University of China Press, Beijing (2008)
Ou, Y., Sheng, Y.: Strategic New Industry Research. Hunan Social Sciences 5, 111–115 (2010)
Yang, A., Liu, C., Chang, J., Feng, L.: TOPSIS-Based Numerical Computation Methodology for Intuitionistic Fuzzy Multiple Attribute Decision Making. Nformation-an International Interdisciplinary Journal 14(10), 3169–3174 (2011)
Zhou, L., Wang, Y.: The risk warning model of Chinese listed companies Based on Logistic regression and BP neural network. In: International Conference on Computer Application and System Modeling, vol. 2, pp. 607–610 (2010)
Zhou, L.: The Principal Component Analysis about Three-dimensional time series data of Chinese information process. In: International Conference on E-Business and E-Government, vol. 2, pp. 4901–4904 (2010)
Zhang, C., Liang, R., Liu, L., Wang, J.: Set pair community mining and situation analysis based on web social network. In: International Conference on Advanced in Control Engineering and Information Science, pp. 3456–3460 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, L., Yan, S., Zhang, Y. (2012). Reasonable Arrangements for Ophthalmic Beds Based on Linear Programming. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-34038-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
eBook Packages: Computer ScienceComputer Science (R0)