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Reasonable Arrangements for Ophthalmic Beds Based on Linear Programming

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Information Computing and Applications (ICICA 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 307))

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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%.

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© 2012 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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