運用蛙跳演算法解醫護人員排班問題

洪梓誠

doi:10.6840/cycu201600480

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运用蛙跳演算法解医护人员排班问题

Applying a modified shuffled frog leaping algorithm to solve medical staff scheduling problems

洪梓诚 , 硕士　　导师：陈平舜　　

繁体中文 DOI： 10.6840/cycu201600480

医护人员排班；医护人员偏好；人员排班；蛙跳演算法；稳健性； Medical staff scheduling ； medical staff preference ； staff scheduling ； shuffled frog leaping algorithm (SFLA) ； robustness

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摘要 │ 参考文献 (21) │ 国际计量

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As people keep pursuing for better medical quality, medical demands of people increase in recent years. Due to limited medical staff of hospitals, each medical employee has more and more workload. If a hospital does not assign the appropriate staff to each shift, it will cause to over workload of each staff, leading to decrease medical quality. Therefore, how to arrange a medical staff schedule with high staff satisfaction to comply with government and hospital regulations becomes a significant challange for hospital management.
This study developed a modified shuffled frog leaping algorithm (MSFLA) to solve the medical staff scheduling problem. Based on the MSFLA, this research designed the repairing, updating, and searching adjacent neighborhood mechanisms in order to improve solution quality of the medical staff schedule. Using the graphical user interface (GUI) to display an optimal schedule could help hospital managers conveniently access to the medical staff scheduling system. In addition, the results show that the MSFLA had a good convergence property, leading to a good medical staff schedule. In other words, the MSFLA could find a solution that satisfied most of staff’s preferences. Finally, this study conducted a robustness analysis in order to explore the impact of different required staff each shift on solution quality of the schedule generated by the proposed MSFLA. The numerical results show that, under different required staff each shift, solution quality of each replication was close. It meant that the proposed MSFLA had high robustness.

参考文献 ( 21 ) 〈TOP〉

Bhattacharjee, K. K., & Sarmah, S. P. (2014). Shuffled frog leaping algorithm and its application to 0/1 knapsack problem. Applied Soft Computing, 19, 252-263.
连结：
Burke, E. K., De Causmaecker, P., Vanden Berghe, G., & Van Landeghem, H. (2004). The state of the art of nurse rostering. Journal of Scheduling, 7(6), 441-499.
连结：
Byars, L., & Rue, L. (1984). Human Resource and Personnel Management: McGraw-Hill/Irwin.
连结：
Costa Filho, C. F. F., Rivera Rocha, D. A., Fernandes Costa, M. G., & de Albuquerque Pereira, W. C. (2012). Using constraint satisfaction problem approach to solve human resource allocation problems in cooperative health services. Expert Systems with Applications, 39(1), 385-394.
连结：
Cui, W. H., Liu, X. B., Wang, W., & Wang, J. S. (2012). Survey on shuffled frog leaping algorithm. Control and Decision, 27, 481-486.
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引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。