Contextualising manufacturing data for lifecycle decision-making
by William Z. Bernstein; Thomas D. Hedberg Jr.; Moneer Helu; Allison Barnard Feeney
International Journal of Product Lifecycle Management (IJPLM), Vol. 10, No. 4, 2017

Abstract: 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 ecision-making viewpoint.

Online publication date: Mon, 12-Mar-2018

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