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Dynamic control of skilled and unskilled labour task assignments

机译:动态控制熟练和不熟练的劳动任务分配

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Efficient allocation of skilled and non-skilled workers allow a company to improve productivity and usually requires an understanding of personnel capability, operating conditions and resource availability. This paper examines a labour control strategy that optimises labour skill level, utilisation, task execution time and processing error. The proposed controller manages different labour groups in a multiple work cell environment, providing real-time job assignment, as well as guiding and navigation features. These features can be used to enhance the performance of existing MRP-based or Just-In-Time production systems. A discrete event simulation-based manufacturing model has been developed to assess the performance of the labour controller. Experiments conducted for the selected production scenarios have demonstrated a productivity improvement when using the proposed control. A second experiment has shown that when a skilled labour uses the labour controller to guide them through the job, their utilisation also increases. The proposed controller also has potential application in other domains, such as minimising the shopping time at a supermarket.
机译:有效分配熟练工人和非熟练工人可使公司提高生产率,并且通常需要了解人员能力,操作条件和资源可用性。本文研究了一种可以优化劳动技能水平,利用率,任务执行时间和处理错误的劳动控制策略。拟议的控制器在多个工作单元环境中管理不同的劳工组,提供实时的工作分配以及指导和导航功能。这些功能可用于增强现有基于MRP或即时生产系统的性能。已经开发了基于离散事件模拟的制造模型来评估人工控制器的性能。在使用建议的控件时,针对选定的生产方案进行的实验证明了生产率的提高。第二个实验表明,当熟练工人使用劳工控制器来指导他们完成工作时,他们的利用率也会提高。拟议中的控制器在其他领域也有潜在的应用,例如最大程度地减少了在超市购物的时间。

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