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An Analytical Framework for Smart Manufacturing

Published

Author(s)

Peter O. Denno, Amogh Kulkarni, Daniel Balasubramanian, Gabor Karsai

Abstract

Smart manufacturing is an emerging paradigm for the next generation of manufacturing systems. One key to the success of smart manufacturing is the ability to use the production data for defining predictive and descriptive models and their analyses. However, the development and refinement of such models is a labor- and knowledge-intensive activity that involves acquiring data, selecting and refining an analytical method and validating results. This paper presents an analytical framework that facilitates these activities by allowing ad- hoc analyses to be rapidly specified and performed. Our framework uses a domain-specific language to allow manufacturing experts to specify analysis models in familiar terms and includes code generators that automatically generate the lower-level artifacts needed for performing the analysis. We also describe the use of our framework with an example problem.
Proceedings Title
The 19th International Conference on Industrial Technology
Conference Dates
February 20-22, 2018
Conference Location
Lyon

Keywords

smart manufacturing, analytical frameworks, engineering notebooks

Citation

Denno, P. , Kulkarni, A. , Balasubramanian, D. and Karsai, G. (2018), An Analytical Framework for Smart Manufacturing, The 19th International Conference on Industrial Technology, Lyon, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=924718 (Accessed June 23, 2024)

Issues

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Created March 25, 2018, Updated March 25, 2019