Optimization on the shop floor - A business simulation Approach

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Abstract

Assembly processes can be optimized with various methods. However, it is difficult to evaluate the effectiveness and interaction of these methods. To date, shop floor improvement methods in series production, such as the methods under investigation 5S, Poka Yoke, Kanban, and Standard Work Sheet, have not been scientifically analyzed using a business simulation. This study is aimed at closing this research gap by conducting a business simulation and analyzing the generated data using the design of experiments. This combination represents a new form of research. For the design of experiments, full factorial design with four factors was used. Lead time is selected as the KPI. By analyzing the lean methods that were investigated in this study, both main effects and interactions were found. Results show that it is useful to apply at least one optimization method, whereby Poka Yoke has the most significant impact on the lead time. Researchers in the field of optimization methods can base their investigations on this study.
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车间优化——一种商业模拟方法
装配过程可以用各种方法进行优化。然而,很难评估这些方法的有效性和相互作用。到目前为止,在批量生产中的车间改进方法,如正在调查的5s、Poka Yoke、看板和标准工作表等方法,还没有通过商业模拟进行科学的分析。本研究旨在通过进行商业模拟和使用实验设计分析生成的数据来弥补这一研究空白。这种结合代表了一种新的研究形式。试验设计采用四因素全因子设计。交货期被选为KPI。通过分析本研究研究的精益方法,发现了主要效应和相互作用。结果表明,至少应用一种优化方法是有用的,其中Poka Yoke对交货期的影响最为显著。优化方法领域的研究人员可以在此基础上进行研究。
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