Venkatesh Sid, Ly Sidney, Manning Martin, Michaloski John, Proctor Fred
Boeing Company, Seattle, WA.
National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Proc ASME Int Conf Manuf Sci Eng. 2016;3. doi: 10.1115/MSEC2016-8629.
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.
为了实现资产最大化，制造商应利用通过持续不断收集和评估工厂车间机器状态数据所获得的实时知识。在离散零件制造中，工厂机器监控一直颇具难度，主要原因在于封闭的专有自动化设备使得集成工作困难重重。近来，人们一直在推动将MTConnect的数据采集概念应用于机器状态数据的实时采集。MTConnect是一项开放的免费规范，旨在克服车间的“自动化孤岛”困境。通过自动化资产分析，制造商能够改进生产，实现精益、高效和有效。本文的重点将是部署MTConnect以收集实时机器状态，从而实现资产管理自动化。此外，我们将利用ISO 22400标准，该标准定义了资产并量化了资产性能指标。结合这些目标，我们将研究MTConnect在大型航空航天制造设施中的部署情况，重点关注资产管理以及了解机器整体设备效率（OEE）对制造的影响。
