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The Current State of Sensing, Health Management, and Control for Small-to-Medium-Sized Manufacturers

Published

Author(s)

Moneer Helu, Brian A. Weiss

Abstract

The development of digital technologies for manufacturing has been challenged by the difficulty of navigating the breadth of new technologies available to industry. This difficulty is compounded by technologies developed without a good understanding of the capabilities and limitations of the manufacturing environment, especially within small-to- medium enterprises (SMEs). This paper describes industrial case studies conducted to identify the needs, priorities, and constraints of manufacturing SMEs in the areas of performance measurement, condition monitoring, diagnosis, and prognosis. These case studies focused on contract and original equipment manufacturers with less than 500 employees from several industrial sectors. Solution and equipment providers and NIST Hollings Manufacturing Extension Partnership (MEP) centers were also included. Each case study involved interviews with key shop-floor personnel as well as site visits for a sample of participants. The case studies highlight SME's strong need for access to appropriate data to better understand and plan manufacturing operations. They also help define industrially-relevant use cases in several areas of manufacturing operations, including scheduling support, maintenance planning, resource budgeting, and workforce augmentation.
Proceedings Title
Proceedings of the ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)
Volume
2
Conference Dates
June 27-July 1, 2016
Conference Location
Blacksburg, VA, US
Conference Title
The ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)

Keywords

Sensing, Control, Diagnosis, Prognosis, SME

Citation

Helu, M. and Weiss, B. (2016), The Current State of Sensing, Health Management, and Control for Small-to-Medium-Sized Manufacturers, Proceedings of the ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016), Blacksburg, VA, US, [online], https://doi.org/10.1115/MSEC2016-8783, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920098 (Accessed October 1, 2023)
Created June 26, 2016, Updated April 18, 2022