智能制造系统

D. Nagy
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引用次数: 143

摘要

随着制造复杂性的增加,工厂产量、设备可靠性和设备利用率都接近100%,人们必须寻找替代的改进方案来帮助降低制造成本,并协助管理日益增加的工厂复杂性。有许多可能性,例如自动化制造中涉及的常规决策过程,从而更快或更具成本效益的决策,或者捕获和应用制造知识以减少检测,分析和解决制造问题所需的时间。任何一种可能性都可以在提高生产率或降低成本方面节省大量资金,或者避免重大损失。这样的战略计划是对现有自动化计划的补充,这些计划有助于管理工厂绩效,即用物理自动化取代人类的体力活动,用信息自动化取代常规的人类数据收集或数据分析程序
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent manufacturing systems
As manufacturing complexity increases, and as factory yields, equipment reliability and equipment utilization each approach 100%, one must look for alternative improvement programs to help reduce manufacturing costs and assist in managing increasing factory complexity. There are a number of possibilities, such as automating routine decision-making processes involved in manufacturing, resulting in faster or more cost-effective decisions, or capturing and applying manufacturing knowledge to reduce the time necessary to detect, analyze and solve manufacturing problems. Either possibility can result in significant savings in productivity improvement or cost reduction, or in avoidance of significant losses. Such strategic programs are in addition to the current automation programs which help manage factory performance, i.e., physical automation to replace human physical activity, and information automation to replace routine human data gathering or data analyses procedures.<>
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