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The Present Status and Future Growth of Maintenance in U.S. Manufacturing: Results from a Pilot Survey

Published

Author(s)

Xiaoning Jin, David Siegel, Brian Weiss, Ellen Gamel, Wei Wang, Ni Jun

Abstract

A research study was conducted 1) to examine the practices employed by U.S. manufacturers to achieve productivity goals and 2) to understand what level of intelligent maintenance technologies and strategies are being incorporated into these practices. This study found that the effectiveness and choice of maintenance strategy were strongly correlated to the size of the manufacturing enterprise; there were large differences in adoption of advanced maintenance practices and diagnostics and prognostics technologies between small and medium-sized enterprises (SMEs). Despite their greater adoption of maintenance practices and technologies, large manufacturing organizations have had only modest success with respect to diagnostics and prognostics and preventive maintenance projects. The varying degrees of success with respect to preventative maintenance programs highlight the opportunity for larger manufacturers to improve their maintenance practices and use of advanced prognostics and health management (PHM) technology. The future outlook for manufacturing PHM technology among the manufacturing organizations considered in this study was overwhelmingly positive; many manufacturing organizations have current and planned projects in this area. Given the current modest state of implementation and positive outlook for this technology, gaps, future trend and roadmaps for manufacturing PHM and maintenance strategy are presented.
Citation
Manufacturing Review
Volume
3

Keywords

Maintenance strategy, Prognostics and health management, Preventive and predictive maintenance

Citation

Jin, X. , Siegel, D. , Weiss, B. , Gamel, E. , Wang, W. and Jun, N. (2016), The Present Status and Future Growth of Maintenance in U.S. Manufacturing: Results from a Pilot Survey, Manufacturing Review, [online], https://doi.org/10.1051/mfreview/2016005, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920084 (Accessed July 18, 2024)

Issues

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Created June 19, 2016, Updated October 12, 2021