John L. Michaloski, Frederick M. Proctor, Sid Venkatesh, Sidney Ly, Martin Manning
In order to maximize assets, manufacturers should use real-time knowledge garnered from ongoing and continuous collection and evaluation of factory-floor machine status data. In discrete parts manufacturing, factory machine monitoring has been difficult, due primarily to closed, proprietary automation equipment that make integration difficult. Recently, there has been a push in applying the data acquisition concepts of MTConnect to the real-time acquisition of machine status data. MTConnect is an open, free specification aimed at overcoming the "Islands of Automation" dilemma on the shop floor. With automated asset analysis, manufacturers can improve production to become lean, efficient, and effective. The focus of this paper will be on the deployment of MTConnect to collect real-time machine status to automate asset management. In addition, we will leverage the ISO~22400 standard, which defines an asset and quantifies asset performance metrics. In conjunction with these goals, the deployment of MTConnect in a large aerospace manufacturing facility will be studied with emphasis on asset management and understanding the impact of machine Overall Equipment Effectiveness (OEE) on manufacturing.
ASME 2016 International Manufacturing Science and Engineering Conference
, Proctor, F.
, Venkatesh, S.
, Ly, S.
and Manning, M.
Automating Asset Knowledge with MTConnect, ASME 2016 International Manufacturing Science and Engineering Conference, Blacksburg, VA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920337
(Accessed February 27, 2024)