Journal Published Online: 28 February 2017
Volume 1, Issue 1

A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics

CODEN: SSMSCY

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.

Author Information

Lee, Y.
Systems Integration Div., National Inst. of Standards and Technology, Gaithersburg, MD, US
Kumaraguru, S.
Indian Inst. of Information Technology Design and Manufacturing (IIITD&M), Chennai, IN
Jain, S.
School of Business, George Washington Univ., Washington, DC, US
Robinson, S.
Laboratory for Manufacturing and Sustainability, Univ. of California, Berkeley, CA, US
Helu, M.
Systems Integration Div., National Inst. of Standards and Technology, Gaithersburg, MD, US
Hatim, Q.
Dept. of Industrial and Manufacturing Engineering, Pennsylvania State Univ., Univ. Park, PA, US
Rachuri, S.
Advanced Manufacturing Office, Office of Energy Efficiency and Renewable Energy, Dept. of Energy, Washington, DC, US
Dornfeld, D.
Laboratory for Manufacturing and Sustainability, Univ. of California, Berkeley, CA, US
Saldana, C.
The George W. Woodruff School of Mechanical Engineering, Georgia Inst. of Technology, Atlanta, GA, US
Kumara, S.
Dept. of Industrial and Manufacturing Engineering, Pennsylvania State Univ., Univ. Park, PA, US
Pages: 23
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Details
Stock #: SSMS20160012
ISSN: 2520-6478
DOI: 10.1520/SSMS20160012