回顾技术人员和任务调度问题,数据集和解决方案

Amy Khalfay, Alan Crispin, Keeley A. Crockett
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引用次数: 12

摘要

本文旨在对技术人员和任务调度问题进行综述。技术人员和任务调度问题需要为员工创建时间表,以便为客户服务,每个员工都有技能要求。优化调度可以降低劳动力成本,为雇主节省大量资金,同时保持客户和员工满意度。这是一个NP-hard组合优化问题。多年来,人们研究了许多技术人员和任务调度问题。这是由于这个问题的现实世界性质,它发生在许多行业,如服务维护、家庭保健、呼叫中心、森林管理和住房开发项目。所研究的每个问题都包含了各种各样的约束,如团队、优先级、外包、优先级、路由、时间窗口、工具和备件。我们提出了文献中的问题,数据集和解决方法的研究。本文旨在确定有希望进一步研究的领域,如关注多周期问题、技术人员不可用性、团队和优先约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of technician and task scheduling problems, datasets and solution approaches
This paper aims to provide a review of technician and task scheduling problems. A technician and task scheduling problem requires the creation of timetables for employees in order to serve customers, each having skill requirements. Optimised scheduling can reduce the cost of a workforce and save the employer's significant amount of money whilst maintaining customer and workforce satisfaction. This problem is an NP-hard combinatorial optimisation problem. Over the years, many technician and task scheduling problems have been studied. This is due to the real world nature of the problem, that occurs in many industries such as service maintenance, home healthcare, call centres, forest management and housing development projects. Each problem studied has included a diverse range of constraints such as teaming, priority levels, outsourcing, precedence, routing, time windows and tools and spare parts. We present a study of the problems in the literature, datasets and solution approaches. This review aims to identify promising areas for further research such as focusing on multi-period problems, technician unavailability, teaming and precedence constraints.
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