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 May 19, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Classification Scheme for Smart Manufacturing Systems Performance Metrics
Published
Author(s)
, Senthilkumaran Kumaraguru, Sanjay jain, Qais Hatim, Stefanie Robinson, , , 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
Pub Type
Journals
Download Paper
Keywords
Agility, Asset utilization, Metrics classification, Performance evaluation, Smart manufacturing, Sustainability manufacturing, sustainability
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created February 28, 2017, Updated November 10, 2018