用遗传算法优化 Puskesmas Purwosari 地区的护士和助产士排班工作

Alfian Bima Chandra, A. Farahdiansari, Rizky Stighfarrinata
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引用次数: 0

摘要

Purwosari 社区医疗中心提供住院和门诊两种结构化医疗服务。虽然住院服务运行顺利,但护士排班仍依赖于 Microsoft Excel,经常会遇到排班冲突。为解决这一问题,建议使用遗传算法方法。遗传算法融合了遗传学和科学生物过程的概念,为排班提供了多标准和多目标的解决方案。因此,"排班冲突 "问题可以得到有效解决,从而提高 Purwosari 社区卫生中心住院护理中护士排班的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimasi Penjadwalan Perawat Dan Bidan Dengan Pendekatan Metode Algoritma Genetika Pada Puskesmas Kecamatan Purwosari
Purwosari Community Health Center provides structured healthcare services with two types of services, inpatient and outpatient care. Although inpatient services run smoothly, nurse shift scheduling still relies on Microsoft Excel and often encounters schedule conflicts. To address this issue, the use of genetic algorithm method is proposed. Genetic algorithm offers multi-criteria and multi-objective solutions for scheduling, integrating concepts from genetics and scientific biological processes. Thus, the "schedule collision" problem can be effectively addressed, enhancing the efficiency of nurse shift scheduling in Purwosari Community Health Center's inpatient care.
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