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A Classification Scheme for Smart Manufacturing Systems Performance Metrics

Published

Author(s)

Yung-Tsun T. Lee, Senthilkumaran Kumaraguru, Sanjay jain, Qais Hatim, Stefanie Robinson, Moneer M. Helu, Sudarsan Rachuri, Soundar Kumara, Christopher Saldana, David Dornfeld

Abstract

This paper proposes a classification framework for performance metrics for smart manufacturing systems. The discussion focuses on agility, asset utilization, and sustainability, and we discuss classification themes for each of these areas that lead to the development of a generalized classification framework. Such a framework is useful when selecting metrics that assure enhanced performance of smart manufacturing systems. We discuss a conceptual model for performance metrics 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.
Citation
The ASTM Journal of Smart and Sustainable Manufacturing
Volume
1
Issue
1

Keywords

Agility, Asset utilization, Metrics classification, Performance evaluation, Smart manufacturing, Sustainability manufacturing, sustainability

Citation

Lee, Y. , Kumaraguru, S. , Jain, S. , Hatim, Q. , Robinson, S. , Helu, M. , Rachuri, S. , Kumara, S. , Saldana, C. and Dornfeld, D. (2017), A Classification Scheme for Smart Manufacturing Systems Performance Metrics, The ASTM Journal of Smart and Sustainable Manufacturing, [online], https://doi.org/10.1520/SSMS20160012 (Accessed June 24, 2024)

Issues

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Created February 28, 2017, Updated November 10, 2018