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Methods and Tools for Performance Assurance of Smart Manufacturing Systems



Deogratias Kibira, Katherine C. Morris, Senthilkumaran Kumaraguru


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 to guide decision-making is, 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.
Journal of Research (NIST JRES) -


performance challenges, performance measurement, productivity, sustainability, agility


Kibira, D. , Morris, K. and Kumaraguru, S. (2016), Methods and Tools for Performance Assurance of Smart Manufacturing Systems, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed February 22, 2024)
Created June 2, 2016, Updated November 14, 2018