國立虎尾科技大學 |

Statistical process control /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical process control // Mohammed Amin Mohammed.
Author:	Mohammed, Mohammed Amin,
Description:	1 online resource (57 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 28 Feb 2024).
Subject:	Process control - Statistical methods. -
Online resource:	https://doi.org/10.1017/9781009326834
ISBN:	9781009326834 (ebook)

Statistical process control /
Mohammed, Mohammed Amin,

Statistical process control /Mohammed Amin Mohammed. - 1 online resource (57 pages) :digital, PDF file(s). - Cambridge elements. Elements of improving quality and safety in healthcare,2754-2912. - Cambridge elements.Elements of improving quality and safety in healthcare,.

Title from publisher's bibliographic system (viewed on 28 Feb 2024).

Open Access.

Statistical process control methodology was developed by Walter Shewhart in the 1920s as part of his work on quality control in industry. Shewhart observed that quality is about hitting target specifications with minimum variation. While every process is subject to variation, that variation can arise from 'common cause' variation, inherent in the process, or 'special cause' variation which operates from outside of that process. This distinction is crucial because the remedial actions are fundamentally different. Reducing common cause variation requires action to change the process; special cause variation can only be addressed if the external cause is identified. Statistical process control methodology seeks to distinguish between the two causes of variation to guide improvement efforts. Using case studies, this Element shows that statistical process control methodology is widely used in healthcare because it offers an intuitive, practical, and robust approach to supporting efforts to monitor and improve healthcare. This title is also available as Open Access on Cambridge Core.

ISBN: 9781009326834 (ebook)Subjects--Topical Terms:

528396
Process control
--Statistical methods.

LC Class. No.: TS156.8 / .M66 2024

Dewey Class. No.: 658.5/62

Statistical process control /
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520 $a Statistical process control methodology was developed by Walter Shewhart in the 1920s as part of his work on quality control in industry. Shewhart observed that quality is about hitting target specifications with minimum variation. While every process is subject to variation, that variation can arise from 'common cause' variation, inherent in the process, or 'special cause' variation which operates from outside of that process. This distinction is crucial because the remedial actions are fundamentally different. Reducing common cause variation requires action to change the process; special cause variation can only be addressed if the external cause is identified. Statistical process control methodology seeks to distinguish between the two causes of variation to guide improvement efforts. Using case studies, this Element shows that statistical process control methodology is widely used in healthcare because it offers an intuitive, practical, and robust approach to supporting efforts to monitor and improve healthcare. This title is also available as Open Access on Cambridge Core.
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