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      The present status and future growth of maintenance in US manufacturing: results from a pilot survey

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          Abstract

          A research study was conducted (1) to examine the practices employed by US 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 trends, and roadmaps for manufacturing PHM and maintenance strategy are presented.

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          Most cited references19

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          Feed-axis gearbox condition monitoring using built-in position sensors and EEMD method

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            Introduction to TPM – Total Productive Maintenance

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              Fault diagnosis on production systems with support vector machine and decision trees algorithms

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                Author and article information

                Journal
                101688773
                45529
                Manuf Rev (Les Ulis)
                Manuf Rev (Les Ulis)
                Manufacturing review
                2265-4224
                29 July 2016
                2016
                12 August 2016
                : 3
                : 10
                Affiliations
                [1 ]Department of Mechanical Engineering, University of Michigan, 360 Huntington Ave, Boston, MA 02115, USA
                [2 ]Department of Mechanical & Materials Engineering, University of Cincinnati, 560 Baldwin Hall, 2600 Clifton Avenue, Cincinnati, OH 45221, USA
                [3 ]U.S. Department of Commerce, National Institute of Standards and Technology, 100 Bureau Drive, Stop 8230, Gaithersburg, MD 20899, USA
                [4 ]2300 Hayward St., Ann Arbor, MI 48109, USA
                Author notes
                [* ]Corresponding author: xnjin@ 123456umich.edu
                Article
                NISTPA804438
                10.1051/mfreview/2016005
                4981924
                27525253
                d702f918-dbe8-4c8c-9b92-43ac84ad1240

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Categories
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                maintenance strategy,prognostics and health management,preventive and predictive maintenance

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