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Information management in improvement projects: Qualitative and linguistic approaches to value stream design

机译:改进项目中的信息管理:价值流设计的定性和语言方法

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A wide-spread approach to foster production and logistics related improvements on a system level is value stream mapping (VSM). It is often used as a starting point for implementing lean manufacturing in producing companies. VSM as a modeling approach contains two major phases –one is the analysis, another one the design phase. During these there is always the question of getting accurate information out of the production system to enable a constructive improvement. It can be distinguished between direct data acquisitions (observation, questioning, interviews) and indirect data acquisition (using IT systems) where both quantitative and qualitative data arises. Standard value stream design (VSD) offers no option to combine these data types, instead mostly deterministic values are used for assessing future states; this can lead to an illusion of accuracy. Thus in this paper it is shown how to combine different data types with an appropriate modeling using fuzzy variables in the course of VSD. The whole procedure is applied during a laboratory study to provide internal validity.
机译:促进生产和物流对系统级别的广泛传播方法是价值流映射(VSM)。它通常被用作在生产公司实施精益制造的起点。 VSM作为建模方法,包含两个主要阶段 - 一个分析,另一个是设计阶段。在这些期间,总是有问题的问题,以便从生产系统中获得准确的信息,以实现建设性的改进。它可以区分直接数据采集(观察,质疑,访谈)和间接数据采集(使用IT系统),其中都是定量和定性数据。标准值流设计(VSD)不提供组合这些数据类型的选项,而是主要用于评估未来状态的确定性值;这可能导致准确性的幻觉。因此,在本文中,示出了如何在VSD过程中使用模糊变量将不同的数据类型与适当的建模相结合。在实验室研究期间应用整个程序,以提供内部有效性。

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