Investigating low data consistency in work planning processes – causes, measures, and opportunities

Valesko Dausch, Christopher Langner, Daniel Roth, Matthias Kreimeyer, Matthias R. Guertler
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Abstract

Digital transformation increases the need for interdisciplinary collaboration along the product lifecycle. It is currently hindered by a low data consistency resulting from the use of heterogeneous systems and data models. Especially in work planning, where several data models are combined, this decreases efficiency. Systems Lifecycle management (SysLM) offers a solution to this remedy. However, a sudden switch to SysLM is not possible in brownfields. Thus, it is necessary to examine the challenges and opportunities to derive case-specific measures that enable its adoption in work planning.
调查工作规划流程中数据一致性低的问题--原因、措施和机遇
数字化转型增加了在产品生命周期内进行跨学科合作的需求。目前,由于使用异构系统和数据模型,数据一致性较低,阻碍了跨学科协作。特别是在工作规划中,需要将多个数据模型结合在一起,这就降低了效率。系统生命周期管理(SysLM)为解决这一问题提供了解决方案。然而,在棕地不可能突然改用 SysLM。因此,有必要对挑战和机遇进行研究,以制定针对具体情况的措施,使其能够在工作规划中得到采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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