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A review of technician and task scheduling problems, datasets and solution approaches

机译:审查技术人员和任务计划问题,数据集和解决方法

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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.
机译:本文旨在对技术人员和任务调度问题进行回顾。技术人员和任务计划问题需要为员工创建时间表,以便为每个都有技能要求的客户提供服务。优化的计划安排可以减少劳动力成本,并节省雇主的大量资金,同时保持客户和劳动力的满意度。此问题是NP-hard组合优化问题。多年来,已经研究了许多技术人员和任务调度问题。这是由于问题的现实性质,这种问题发生在许多行业中,例如服务维护,家庭保健,呼叫中心,森林管理和住房开发项目。研究的每个问题都包括各种各样的约束条件,例如团队,优先级,外包,优先级,工艺路线,时间范围以及工具和备件。我们对文献,数据集和解决方法中的问题进行了研究。这篇综述旨在确定有希望进行进一步研究的领域,例如关注多周期问题,技术人员不可用,团队合作和优先约束。

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