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Methods and Tools for Performance Assurance of Smart Manufacturing Systems

Published

Author(s)

Deogratias Kibira, Katherine C. Morris, Senthilkumaran Kumaraguru

Abstract

The emerging concept of smart manufacturing systems is defined in part by the introduction of new technologies that are promoting rapid and widespread information flow within the manufacturing system and surrounding its control. These systems can deliver unprecedented awareness, agility, productivity, and resilience within the production process by exploiting the ever-increasing availability of real-time manufacturing data. Optimized collection and analysis of this voluminous data and subsequent distribution of extracted information to guide decision-making throughout the enterprise necessitate, however, a complex and dynamic process. To establish and maintain confidence that smart manufacturing systems function as intended, performance assurance measures will be vital. The activities for performance assurance span manufacturing system design, operation, performance assessment, evaluation, analysis, decision making, and control. Changes may be needed for traditional approaches in these activities to address smart manufacturing systems. This paper reviews the current methods and tools used for establishing and maintaining required system performance. This paper then identifies trends in data and information systems, integration, performance measurement, analysis, and performance improvement that will be vital for assured performance of smart manufacturing systems. Finally, we analyze how those trends apply to the methods studied and propose future research for assessing and improving manufacturing performance in the uncertain, multi-objective operating environment.
Citation
NIST Interagency/Internal Report (NISTIR) -

Keywords

Performance Goals, Performance Assessment, Performance Improvement Methods, Smart Manufacturing, Indicators, Metrics

Citation

Kibira, D. , Morris, K. and Kumaraguru, S. (2015), Methods and Tools for Performance Assurance of Smart Manufacturing Systems, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8099 (Accessed December 13, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 22, 2015, Updated November 10, 2018