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Valid Methodology for Using Discrete Event Simulation to Improve the Resource Consumption for the Manufacturing of Masonry Units

机译:使用离散事件模拟改善砌体单元制造资源消耗的有效方法

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Owing to a high inflexibility of the factory layout, manufacturers of masonry units are bound to organizational adjustments seizing optimization measures. Regarding such plants, having a given complexity based on a rigid concatenation of heterogeneous sub-processes with heavy goods to be transported, conventional measures such as Lean Management principles involve great efforts in execution. Therefore, an IT solution for planning and controlling the operational processes is to be developed. This solution will be implemented through simulation-supported optimization to support dealing with a higher complexity and setting up a more resource-efficient manufacturing process. As a basis, a corresponding factory is mapped sufficiently accurate in every detail in a discrete event analysis (DEA) model. In this paper, a methodology, how to configure an arbitrary calcium silicate masonry unit (CS) plant in a simulation model, is presented for the first time. Relevant data is cataloged and modelling approaches for the controlling methods are pointed out. Special regard is paid to optimization measures at the crucial point of the transition from bulk material to piece goods, which has not been regarded yet in discrete event simulation modelling. The major aspect is a comparison of a unit-based approach and a variable-controlled approach, regarding the runtime. A case study follows conclusively, which aided in validating the methodology by simulating various scenarios. As a result, several strategic and operational optimization potentials were identified.
机译:由于工厂布局的高度灵活性,砖石砌块的制造商必然要进行组织调整,以采取优化措施。对于这样的工厂,由于给定的复杂性是基于异构子过程与要运输的重物的严格级联,因此常规方法(例如精益管理原则)在执行过程中需要付出很大的努力。因此,将开发用于计划和控制操作流程的IT解决方案。该解决方案将通过仿真支持的优化来实现,以支持处理更高的复杂性并建立更具资源效率的制造过程。作为基础,相应的工厂在离散事件分析(DEA)模型中的每个细节上都足够精确地映射。本文首次提出了一种在模拟模型中如何配置任意硅酸钙砌体工厂的方法。对相关数据进行分类,并指出控制方法的建模方法。在从散装物料到零散货物过渡的关键时刻,要特别注意优化措施,而在离散事件模拟建模中尚未考虑到这一点。主要方面是关于运行时间的基于单元的方法和变量控制的方法的比较。结论性地进行了案例研究,该案例研究通过模拟各种场景来帮助验证方法论。结果,确定了一些战略和运营优化潜力。

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