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Toward a Diagnostic and Prognostic Method for Knowledge-Driven Decision Making in Smart Manufacturing Technologies

Published

Author(s)

Thomas D. Hedberg Jr., Allison Barnard Feeney, Jaime A. Camelio

Abstract

Making high-quality manufacturing decisions in real-time is difficult. Smart manufacturing requires sufficient knowledge be available to the decision maker to ensure the manufacturing system runs efficiently and effectively. This paper will present a literature review of managing and controlling decision making and technological innovation. We present a process definition for decision making that implements closed-loop diagnostic and prognostic control. Lastly, we discuss a case-study relative to smart manufacturing.
Proceedings Title
15th Annual Conference On Systems Engineering Research (CSER)
Conference Dates
March 23-25, 2017
Conference Location
Redondo Beach, CA, US

Keywords

decision making, smart manufacturing, technological innovation

Citation

Hedberg Jr., T. , Barnard Feeney, A. and Camelio, J. (2017), Toward a Diagnostic and Prognostic Method for Knowledge-Driven Decision Making in Smart Manufacturing Technologies, 15th Annual Conference On Systems Engineering Research (CSER), Redondo Beach, CA, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922297 (Accessed May 21, 2024)

Issues

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Created March 24, 2017, Updated February 23, 2023