Title: Contextualising manufacturing data for lifecycle decision-making

Authors: William Z. Bernstein; Thomas D. Hedberg Jr.; Moneer Helu; Allison Barnard Feeney

Addresses: Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA ' Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA ' Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA ' Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA

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.

Keywords: digital thread; knowledge management; product lifecycle management; smart manufacturing; lifecycle decision-making; manufacturing data.

DOI: 10.1504/IJPLM.2017.090328

International Journal of Product Lifecycle Management, 2017 Vol.10 No.4, pp.326 - 347

Received: 06 Feb 2017
Accepted: 06 Nov 2017

Published online: 05 Mar 2018 *

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