Contextualising manufacturing data for lifecycle decision-making.
Contextualising manufacturing data for lifecycle decision-making.
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DOI：
10.1504/ijplm.2017.090328
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发表时间：
2018
影响因子：
--
通讯作者：
Feeney AB
中科院分区：
文献类型：
--
作者：
Bernstein WZ;Hedberg TD Jr;Helu M;Feeney AB
最新的进展使制造系统的数据能够相对于产品生命周期的其他阶段被捕获和上下文化，这是理解系统行为和满足可追溯性要求的必要步骤。在整个生命周期中集成信息并实现高效决策方面仍然存在重大挑战。在本文中，我们探讨了映射标准数据表示的机会，如产品数据交换标准（STEP），MTConnect和质量信息框架（QIF），以集成整个生命周期中存在的信息孤岛。为了证明这一愿景，我们描述了一个参考实现与合同制造商在美国国家标准与技术研究院（NIST）智能制造系统测试床。使用这个实现，我们探索如何从制造中产生的知识可以支持生命周期决策。作为一个案例研究，我们提出了一个互动的原型相关的测试床的数据的基础上，必须提供一个特定的决策观点的背景。
Recent advances enable data from manufacturing systems to be captured and contextualised relative to other phases of the product lifecycle, a necessary step toward understanding system behaviour and satisfying traceability requirements. Significant challenges remain for integrating information across the lifecycle and enabling efficient decision-making. In this paper, we explore opportunities for mapping standard data representations, such as the Standard for the Exchange of Product Data (STEP), MTConnect, and the Quality Information Framework (QIF) to integrate information silos existing across the lifecycle. To demonstrate this vision, we describe a reference implementation with a contract manufacturer in the National Institute of Standards and Technology (NIST) Smart Manufacturing Systems Test Bed. Using this implementation, we explore how knowledge generated from manufacturing can support lifecycle decision-making. As a case study, we then present an interactive prototype correlating the test bed’s data based on the context that must be provided for a specific decision-making viewpoint.