Editorial - Special Issue: Smart Manufacturing PHM

Brian A. Weiss, Philip Freeman, Jay Lee, and Radu Pavel
Publication Target: 
IJPHM
Publication Issue: 
Special Issue on Smart Manufacturing PHM
Submission Type: 
Full Paper
AttachmentSizeTimestamp
ijphm_16_035.pdf239.28 KBDecember 7, 2016 - 12:22pm

This document is the editorial for the special issue on Smart Manufacturing PHM. The age of Smart Manufacturing has arrived where more and more organizations are embracing it to innovate and maintain their competitiveness. Smart Manufacturing blends information technology (IT) with operations technology (OT) to enable greater productivity, efficiency, quality, and customization within factory operations. More specifically, emerging and existing factory-floor level technologies (including robotics, machine tools, additive processes, automation, and sensors) are being fused with networking (both wired and wireless) and analysis technologies to generate more timely, accurate, and appropriate communication. This communication directly enables more intelligent sensing, monitoring, and control of the overall manufacturing system, including its constituent processes and sub-systems. Organizations that are adopting a smart manufacturing approach have become more flexible and adaptive to address changing customer demands, integrate new technologies, mitigate supply chain disruptions, and better utilize their human workforce. Prognostics and Health Management (PHM), in the context of Smart Manufacturing, focuses on the technologies and capabilities that enable health monitoring, diagnostics, and prognostics to promote greater intelligence in maintenance and control activities.
This Special Issue on Smart Manufacturing PHM contains six outstanding technical papers and one communication that collectively present a diverse range of research and practical application topics within the field of Smart Manufacturing PHM.

Publication Year: 
2016
Publication Volume: 
7
Publication Control Number: 
035
Page Count: 
4
Submission Keywords: 
Smart Manufacturing; Manufacturing Process Monitoring; Process Control; Diagnostics
prognostics
Submission Topic Areas: 
Standards and methodologies
Systems and platform applications
Verification and validation
Submitted by: 
  
 
 
 

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