ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

How SPM Can Help Practitioner when Her/His Process Is Unstable

4 September 2018, 09:40 – 10:00


Submitted by
Vladimir Shper
Vladimir Shper (Moscow Institute of Steel & Alloys), Yuri Adler (Moscow Institute of Steel & Alloys), Irina Zubkova (Moscow Institute of Steel & Alloys)
As a rule statisticians in their books, papers and presentations on Statistical Process Monitoring (SPM) discuss how to find out whether a process is stable and how after achieving stability to monitor its future behavior. There is a well-known statistical tool to this end – control chart, and further discussions are usually going along the problem which chart and how to use it in order to extract the maximum from data under study. Here we discuss a different situation: a process is obviously unstable – is it useful to construct any charts or plots or diagrams, and if yes – which ones are mostly helpful? Taking a big amount of data from an unstable process we deliver recommendations on the procedure to analyze unstable processes, on what charts and in which sequence to use, and how to interpret the data obtained. As the amount of unstable processes is much more than stable ones and we encounter such data very often while meeting with practitioners in many areas of activity, we are sure that this information may be useful for many practitioners.

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