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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/23731

Title: Networked engineering notebooks for smart manufacturing
Authors: Denno, Peter
Dickerson, Charles E.
Harding, Jennifer A.
Keywords: Manufacturing analysis
Process analysis
Process optimization
Analytical methods
Empirical methods
Industrial internet of things
Metamodels
Issue Date: 2016
Publisher: IOS Press
Citation: DENNO, P., DICKERSON, C.E. and HARDING, J.A., 2016. Networked engineering notebooks for smart manufacturing. IN: Goh, Y.M. and Case, K. (eds). Advances in Manufacturing Technology XXX, Proceedings of the 14th International Conference on Manufacturing Research (ICMR 2016), Loughborough University, Loughborough, UK, September 2016, pp. 407-412.
Abstract: A goal of the industrial internet is to make information about manufacturing processes and resources available wherever decision making may be required. Agile use of information is a cornerstone of data analytics, but analytical methods more generally, including model-based investigations of manufacturability and operations, do not so easily benefit from this data. Rather than relating anonymous patterns of data to outcomes, these latter analytical methods are distinguished as relying on conceptual or physics-based models of the real world. Such models require careful consideration of the fitness of the data to the purpose of the analysis. Verification of these analyses, then, is a significant bottleneck. A related problem, that of ascertaining reproducible results in scientific claims, is being addressed through executable notebook technology. This paper proposes to use notebook technologies to address that bottleneck. It describes how this notebook technology, linked to internet-addressable ontologies and analytical metamodels, can be used to make model-based analytical methods more verifiable, and thus more effective for manufacturers.
Description: The final publication is available at IOS Press through http://dx.doi.org/10.3233/978-1-61499-668-2-407
Version: Accepted for publication
DOI: 10.3233/978-1-61499-668-2-407
URI: https://dspace.lboro.ac.uk/2134/23731
Publisher Link: http://dx.doi.org/10.3233/978-1-61499-668-2-407
ISBN: 9781614996675
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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