Refractory management using fact-based analysis for the cement kiln

D. Stepien, D. Funk, I. M. Brown
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Abstract

Variation is present in all manufacturing processes and "control" is not a natural state. In fact, a lack of variation in a process which indicates "perfect" control, should make one suspicious. Using control charts will keep a process operating within specified limits most of the time and, more importantly, control charting can both alert an operator when a process goes out of control and suggest how to bring it back. Learning about a process never stops manufacturing is a grand experiment that goes on each and every day. A proactive approach to one's manufacturing process is vital if companies wish to gain process knowledge. Shewhart control charts, for example, have been in use since the 1950s, but going beyond this basic level of knowledge has been troublesome due to the excessive number of statistical calculations required. The onset of the information age and the geometric growth in the amount of data generated by online controllers had, until recently, complicated efforts to make more than a basic use of data. Here, the authors describe a new process analysis package which can enable management to come to grips with this problem and gain insight into its manufacturing processes.
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基于事实分析的水泥窑耐火材料管理
变化存在于所有的制造过程中,“控制”不是一种自然状态。事实上,在一个过程中缺乏变化表明“完美”的控制,应该引起怀疑。使用控制图将使过程在大多数时间内保持在规定的范围内运行,更重要的是,控制图可以在过程失控时提醒操作员,并建议如何将其恢复。了解一个永远不会停止生产的过程是一个每天都在进行的伟大实验。如果公司希望获得工艺知识,积极主动的制造工艺方法是至关重要的。例如,自20世纪50年代以来,休哈特控制图一直在使用,但由于需要进行过多的统计计算,超出这个基本知识水平一直很麻烦。直到最近,信息时代的到来和在线控制器产生的数据量的几何增长,使得数据的基本用途变得更加复杂。在这里,作者描述了一个新的过程分析包,它可以使管理层来处理这个问题,并深入了解其制造过程。
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