Optimizing Employee Scheduling System with Firefly Algorithm (Case Study: MJ Store)

Risna Sari, Retno Widianti
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引用次数: 1

Abstract

Employee scheduling is a complex problem since it must precisely allocate resources such as time, task disposition, employee’s competencies, a day off, and cost of the activity. The firefly algorithm is implemented to arrange the schedule of employees automatically and meet the rules. This algorithm allows the system to produce a list that is by applicable rules. The proposed system was designed with three steps to produce lists of employee shifts. Firstly, enter employee, job description and the last is set the employee holiday schedules. Then the system will process it and produce the desired schedule in a short time. Performance results show schedule made in 90 seconds with a success rate of 96.5% with 20 fireflies and 40 times iteration
基于萤火虫算法的员工调度系统优化(以MJ商店为例)
员工日程安排是一个复杂的问题,因为它必须精确地分配资源,如时间、任务配置、员工的能力、休息日和活动成本。采用萤火虫算法自动安排员工的日程并满足规则要求。该算法允许系统生成符合适用规则的列表。拟议的系统设计有三个步骤来生成员工轮班清单。首先,输入员工,职位描述,最后是设置员工的假期安排。然后,系统将对其进行处理,并在短时间内生成所需的时间表。性能结果表明,20只萤火虫,40次迭代,在90秒内完成调度,成功率为96.5%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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