A classification scheme for smart manufacturing systems' performance metrics

Y. T. Lee, S. Kumaraguru, S. Jain, S. Robinson, M. Helu, Q. Y. Hatim, S. Rachuri, D. Dornfeld, C. J. Saldana, S. Kumara

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper proposed a classification scheme for performance metrics for smart manufacturing systems. The discussion focused on three such metrics: agility, asset utilization, and sustainability. For each of these metrics, we discussed classification themes, which we then used to develop a generalized classification scheme. In addition to the themes, we discussed a conceptual model that may form the basis for the information necessary for performance evaluations. Finally, we present future challenges in developing robust, performance-measurement systems for real-time, data-intensive enterprises.

Original languageEnglish (US)
JournalSmart and Sustainable Manufacturing Systems
Volume1
Issue number1
DOIs
StatePublished - Feb 28 2017

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Sustainable development
Industry

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Lee, Y. T. ; Kumaraguru, S. ; Jain, S. ; Robinson, S. ; Helu, M. ; Hatim, Q. Y. ; Rachuri, S. ; Dornfeld, D. ; Saldana, C. J. ; Kumara, S. / A classification scheme for smart manufacturing systems' performance metrics. In: Smart and Sustainable Manufacturing Systems. 2017 ; Vol. 1, No. 1.
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Lee, YT, Kumaraguru, S, Jain, S, Robinson, S, Helu, M, Hatim, QY, Rachuri, S, Dornfeld, D, Saldana, CJ & Kumara, S 2017, 'A classification scheme for smart manufacturing systems' performance metrics', Smart and Sustainable Manufacturing Systems, vol. 1, no. 1. https://doi.org/10.1520/SSMS20160012

A classification scheme for smart manufacturing systems' performance metrics. / Lee, Y. T.; Kumaraguru, S.; Jain, S.; Robinson, S.; Helu, M.; Hatim, Q. Y.; Rachuri, S.; Dornfeld, D.; Saldana, C. J.; Kumara, S.

In: Smart and Sustainable Manufacturing Systems, Vol. 1, No. 1, 28.02.2017.

Research output: Contribution to journalArticle

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