支持并发工程的元数据类别

Juliane Blechinger, F. Lauterwald, R. Lenz
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引用次数: 0

摘要

并行工程是当今企业的一个关键词。几乎每个企业都将其工程流程并行化,以便在设计产品时达到更高的效率。不幸的是,并发工程节省时间和成本的潜力并没有被充分利用。事实上,设计问题的出现会导致大量的返工。正如我们所认识到的,设计问题总是影响底层数据。因此,错误的数据表明存在这些问题。因此,数据质量的提高应该会减少设计问题。尽管与数据质量相关的研究团体提出了各种管理方法,但这些方法过于笼统,因此对在特定情况下该做什么提供的指导很少。我们的项目DQ-Step的目标是开发一个解决方案,它既足够通用,可以覆盖整个领域,即并行工程,同时又足够具体,可以为企业提供可用的指导方针,以支持他们的工程师,并最终加快他们的设计。在我们之前的工作中,我们已经确定了并发工程中的主要问题。在本文中,我们将讨论帮助克服这些问题所需的元数据类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metadata Categories for Supporting Concurrent Engineering
Concurrent engineering is a keyword in today's enterprises. Almost every enterprise parallelizes its engineering processes to reach a higher efficiency in designing their products. Unfortunately, the time- and cost-saving potential of concurrent engineering cannot be used to its full capacity. In fact, design problems arise and lead to a lot of rework. As we have recognized, design problems always affect the underlying data. Thus, wrong data is an indication of such problems. As a consequence, the improvement of the data quality should reduce the design problems. Although the data quality-related research community has proposed various management approaches, these approaches are too generic and thus give little guidance about what to do in a given situation. The goal of our project, DQ-Step, is to develop a solution that is both general enough to cover an entire domain, namely concurrent engineering, while remaining concrete enough to give usable guidelines to enterprises to support their engineers and finally speed up their design. In our previous work, we have already identified the major problems in concurrent engineering. In this paper, we discuss the metadata categories required to help overcome these problems.
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