Difference between revisions of "Control chart"

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According to [[Juran's Quality Handbook by Defeo (7th edition)]],
 
According to [[Juran's Quality Handbook by Defeo (7th edition)]],
 
:[[Control chart]]. A graphical tool used to determine if a process is in a state of (usually statistical) control over time. Most popular are Shewhart statistical process control charts.
 
:[[Control chart]]. A graphical tool used to determine if a process is in a state of (usually statistical) control over time. Most popular are Shewhart statistical process control charts.
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According to [[Cost Accounting by Horngren, Datar, Rajan (14th edition)]],
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:[[Control chart]]. Graph of a series of successive observations of a particular step, procedure, or operation taken at regular intervals of time. Each observation is plotted relative to specified ranges that represent the limits within which observations are expected to fall.
  
 
==Related lectures==
 
==Related lectures==
 
*[[Controlling Quarter]].  
 
*[[Controlling Quarter]].  
  
[[Category: Septem Artes Administrativi]][[Category: Articles]][[Category: Quality Management]]
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[[Category: Septem Artes Administrativi]][[Category: Articles]][[Category: Quality Management]][[Category: Accounting]]

Latest revision as of 19:38, 10 July 2020

Control chart (hereinafter, the Chart) is a quality-control tool that represents a graphic display of the results, over time and against established control limits, of a process. They are used to determine if the process is in control or in need of adjustment.

Definition

According to Juran's Quality Handbook by Defeo (7th edition),

Control chart. A graphical tool used to determine if a process is in a state of (usually statistical) control over time. Most popular are Shewhart statistical process control charts.

According to Cost Accounting by Horngren, Datar, Rajan (14th edition),

Control chart. Graph of a series of successive observations of a particular step, procedure, or operation taken at regular intervals of time. Each observation is plotted relative to specified ranges that represent the limits within which observations are expected to fall.

Related lectures