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Mathematical models for FMS loading and part type selection with flexible process plans

机译:用于FMS加载和零件类型选择的数学模型以及灵活的工艺计划

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摘要

The loading problem in flexible manufacturing systems (FMS) consider several different manufacturing settings and objective functions but some crucial aspects of FMS environments, such as flexible process plans (FPP), have not yet received adequate attention. FPPs are vital in coping with bottlenecks and breakdowns, and decreasing the flow time. Modelling FPPs within a loading model, however, increases the problem complexity. In this study, we work on the integrated version of FMS part type selection and loading problems, and propose two models that consider operation allocation at different levels of detail for an FMS with FPP. Operation allocation is modelled explicitly along with tool loading in our first model, while the second one considers it implicitly to obtain a more compact and efficient formulation. Both models show remarkable reduction in run time compared to an existing loading model proposed for a similar FMS environment.
机译:柔性制造系统(FMS)的装载问题考虑了几种不同的制造设置和目标功能,但是FMS环境的一些关键方面,例如柔性工艺计划(FPP),尚未得到足够的重视。 FPP对于应对瓶颈和故障以及缩短流程时间至关重要。但是,在加载模型中对FPP进行建模会增加问题的复杂性。在这项研究中,我们研究FMS零件类型选择和加载问题的集成版本,并提出了两个模型,这些模型考虑了带有FPP的FMS在不同细节级别的操作分配。在我们的第一个模型中,操作分配与工具加载一起进行了显式建模,而第二个模型则隐式地对其进行了建模,以获得更紧凑,更有效的公式。与为类似的FMS环境建议的现有加载模型相比,这两种模型均显示出运行时间的显着减少。

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