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Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing

Published

Author(s)

Xiaoning Jin, Brian Weiss, David Siegel, Jay Lee, Jun Ni

Abstract

The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintenance technologies and strategies that are being incorporated into these practices. A study is performed to contrast the impact of various industry-specific factors on the effectiveness and profitability of the implementation of prognostics and health management technologies, and maintenance strategies using both surveys and case studies on a sample of U.S. manufacturing firms ranging from small to mid-sized enterprises (SMEs) to large-sized manufacturing enterprises in various industries. The results obtained provide important insights on the different impacts of specific factors on the successful adoption of these technologies between SMEs and large manufacturing enterprises. The varying degrees of success with respect to current maintenance programs highlight the opportunity for larger manufacturers to improve their maintenance practices and consider the use of advanced prognostics and health management (PHM) technology. This paper also provides the existing gaps, barriers, future trends, and roadmaps for manufacturing PHM technology and maintenance strategy.
Citation
International Journal of Prognostics and Health Management (IJPHM) – Special Issue: PHM for Smart Manufacturing Systems
Volume
7
Issue
12

Keywords

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

Citation

Jin, X. , Weiss, B. , Siegel, D. , Lee, J. and Ni, J. (2016), Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing, International Journal of Prognostics and Health Management (IJPHM) – Special Issue: PHM for Smart Manufacturing Systems, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920633 (Accessed December 6, 2022)
Created September 29, 2016, Updated October 12, 2021