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Efficient Impact Analysis of Changes in the Requirements of Manufacturing Automation Systems

机译:制造自动化系统需求变化的有效影响分析

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Various drivers, especially increasing market dynamics, force industrial enterprises to evolve their production facilities ever more frequently. Analyzing the impact of changed requirements on the production facilities early in the engineering process would facilitate the estimation of resulting costs and therefore reduce project risk. In industrial practice, requirements specifications are typically textual lists and only structured by a table of contents; an analysis of the impact of changes within the requirements specification is extensive, as no documented information is available about how the requirements and other elements of the requirements specification depend on each other. To identify impacts of changes in a requirements specification more efficiently, this paper proposes a model-based approach that classifies the elements of a requirements specification according to their contents and based on the classification preselects automatically candidate elements of the requirements specification that are possibly affected by the change. This paper shows the application of the approach on the manufacturing automation systems domain by means of a pick and place unit (PPU) demonstrator. The technical validation demonstrates that in the example of the PPU the impact analysis is more efficient with a content model than on an unstructured list; the effort for impact analysis is reduced further when adapting the content model to the manufacturing automation systems domain.
机译:各种驱动因素,尤其是不断增长的市场动态,迫使工业企业更加频繁地发展其生产设施。在工程流程的早期分析需求变更对生产设施的影响,将有助于估算最终成本,从而降低项目风险。在工业实践中,需求规范通常是文本列表,并且仅由目录构成;需求规范内变更影响的分析是广泛的,因为没有关于需求和需求规范的其他元素如何相互依赖的书面信息。为了更有效地识别需求规范中变更的影响,本文提出了一种基于模型的方法,该方法根据需求规范的内容对其内容进行分类,并基于该分类自动选择可能受到影响的需求规范中的候选元素。改变。本文通过拾取和放置单元(PPU)演示器展示了该方法在制造自动化系统领域中的应用。技术验证表明,在PPU的示例中,内容模型的影响分析比非结构化列表的影响分析更有效;当内容模型适应制造自动化系统领域时,可以进一步减少影响分析的工作量。

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