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

Xiaoning Jin, Brian A. Weiss, David Seigel, and Jay Lee
Publication Target: 
IJPHM
Publication Issue: 
Special Issue on Smart Manufacturing PHM
Submission Type: 
Full Paper
Supporting Agencies (optional): 
NIST
AttachmentSizeTimestamp
ijphm_16_012.pdf6.68 MBSeptember 30, 2016 - 7:14pm

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 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.

Publication Year: 
2016
Publication Volume: 
7
Publication Control Number: 
012
Page Count: 
18
Submission Keywords: 
Maintenance Strategy
prognostics and health management
manufacturing system
Submission Topic Areas: 
Health management system design and engineering
Submitted by: 
  
 
 
 

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