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An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments

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  • Duck Bong Kim

    (Tennessee Technological University)

Abstract

This paper describes an approach that can compose predictive models from disparate knowledge sources in smart manufacturing environments. The capability to compose disparate models of individual manufacturing components with disparate knowledge sources is necessary in manufacturing industry, because this capability enables us to understand, monitor, analyze, optimize, and control the performance of the system made up of those components. It is based on the assumption that the component models and component sources used in any particular composition can be represented using the same collection of system ‘viewpoints’. With this assumption, creating this integrated collection is much easier than it would be. This composition capability provides the foundation for the ability to predict the performance of the system from the performances of its components—called compositionality. Compositionality is the key to solve decision-making/optimization problems related to that system-level prediction. For those problems, compositionality can be achieved using a three-tiered, abstraction architecture. The feasibility of this approach is demonstrated in an example in which a multi-criteria decision making method is used to determine the optimal process parameters in an additive manufacturing process.

Suggested Citation

  • Duck Bong Kim, 2019. "An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1999-2012, April.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:4:d:10.1007_s10845-017-1366-7
    DOI: 10.1007/s10845-017-1366-7
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    1. Bohringer, Christoph & Jochem, Patrick E.P., 2007. "Measuring the immeasurable -- A survey of sustainability indices," Ecological Economics, Elsevier, vol. 63(1), pages 1-8, June.
    2. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    3. Robert Fourer & David M. Gay & Brian W. Kernighan, 1990. "A Modeling Language for Mathematical Programming," Management Science, INFORMS, vol. 36(5), pages 519-554, May.
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    Cited by:

    1. Chuan Sun & Sifa Zheng & Yulin Ma & Duanfeng Chu & Junru Yang & Yuncheng Zhou & Yicheng Li & Tingxuan Xu, 2021. "An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1249-1269, June.
    2. Wo Jae Lee & Kevin Xia & Nancy L. Denton & Bruno Ribeiro & John W. Sutherland, 2021. "Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 393-406, February.

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