Six Sigma Tools
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Peter Peterka
Nov 26, 2005, 4:27:38 AM11/26/05
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Peter Peterka
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Article Title: Six Sigma Tools
Author: Peter Peterka
Word Count: 497
Article URL: http://www.isnare.com/?id=21040&ca=Business+Management
Format: 64cpl
Author's Email Address: bhe...@6sigma.us
Easy Publish Tool: http://www.isnare.com/html.php?id=21040
================== ARTICLE START ==================
Statistics are at the heart of Six Sigma’s powerful methodology for quality improvement. It pays to get to know some of the most important of the Six Sigma statistical tools.
Control Charts
The control chart is the fundamental tool of statistical process control; a proven technique for improving productivity. It monitors the variation of key characteristics and indicates the range of variability that is built into a system. Control charts provide diagnostic information about process capability that can be used to analyze variation in process data to demonstrate whether a process is operating consistently. The bounds of the control chart are marked by upper and lower control limits that are calculated by applying statistical formulas to data from the process. Data points that fall outside these bounds represent variations due to irregular causes, which can then be identified and eliminated. Control charts are effective in defect prevention and will help ensure that your process performs consistently. From them, you can, in a precise manner, monitor, control, and improve on process performance over time. This will allow you to be able to predict fluctuations, lower costs and ensure the process has a higher effective capacity.
Failure Modes and Effects Analysis (FMEA)
FMEA is a powerful structured approach that helps you to identify and counter weak points in the early conception phase of products and processes. Using FMEA allows you to analyze any system or subsystem in manufacturing or service industries in the early stages of the process. This systematic methodology identifies potential failure modes in a system caused by either design or process deficiencies. It also identifies critical or significant design or process characteristics that require special controls to prevent or detect failure modes. FMEA improves the quality of products and services and processes by preventing problems from occurring. It documents and tracks action taken to reduce risk while it integrates with the DMAIC methodology.
Histogram
A histogram is used to graphically summarize the distribution of a data set. A histogram is constructed by dividing the range of data into equally sized segments. This data tool enables you to quickly and easily answer several important questions: what distribution does the data have? What is the most common system response? Is the data symmetric or does it contain outliers?
Pareto Chart
A pareto chart is used to graphically summarize the relative importance of the differences between groups of data. A pareto chart is constructed by dividing the range of data into groups. The vertical axis of the pareto chart is the cumulative percentage, and the horizontal axis of the pareto chart is the groups of response variables. Unlike the histogram, the pareto chart is ordered in descending frequency magnitude. The Pareto Chart allows you to focus your efforts to achieve the greatest improvements by identifying the largest issues facing the process. It identifies the 20% of sources that are causing 80% of the problems.
About The Author: http://www.6sigma.us/ Peter Peterka is the Principal Consultant in practice areas of DMAIC and DFSS. Peter has eleven years of experience performing as a Master Black Belt, and has over 15 years experience in industry as an improvement specialist and engineer working with numerous companies.
================== ARTICLE END ==================
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Peter Peterka
==================
IMPORTANT - Publication/Reprint Terms
- You have permission to publish this article electronically in free-only publications such as a website or an ezine as long as the bylines are included.
- You are not allowed to use this article for commercial purposes. The article should only be reprinted in a publicly accessible website and not in a members-only commercial site.
- You are not allowed to post/reprint this article in any sites/publications that contains or supports hate, violence, porn and warez or any indecent and illegal sites/publications.
- You are not allowed to use this article in UCE (Unsolicited Commercial Email) or SPAM. This article MUST be distributed in an opt-in email list only.
- If you distribute this article in an ezine or newsletter, we ask that you send a copy of the newsletter or ezine that contains the article to bhe...@6sigma.us
- If you post this article in a website/forum/blog, ALL links MUST be set to hyperlinks and we ask that you send a copy of the URL where the article is posted to bhe...@6sigma.us
- We request that you ask permission from the author if you want to publish this article in print.
The role of iSnare.com is only to distribute this article as part of its Article Distribution feature ( http://www.isnare.com/distribution.php ). iSnare.com does NOT own this article, please respect the author's copyright and this publication/reprint terms. If you do not agree to any of these terms, please do not reprint or publish this article.
==================
Article Title: Six Sigma Tools
Author: Peter Peterka
Word Count: 497
Article URL: http://www.isnare.com/?id=21040&ca=Business+Management
Format: 64cpl
Author's Email Address: bhe...@6sigma.us
Easy Publish Tool: http://www.isnare.com/html.php?id=21040
================== ARTICLE START ==================
Statistics are at the heart of Six Sigma’s powerful methodology for quality improvement. It pays to get to know some of the most important of the Six Sigma statistical tools.
Control Charts
The control chart is the fundamental tool of statistical process control; a proven technique for improving productivity. It monitors the variation of key characteristics and indicates the range of variability that is built into a system. Control charts provide diagnostic information about process capability that can be used to analyze variation in process data to demonstrate whether a process is operating consistently. The bounds of the control chart are marked by upper and lower control limits that are calculated by applying statistical formulas to data from the process. Data points that fall outside these bounds represent variations due to irregular causes, which can then be identified and eliminated. Control charts are effective in defect prevention and will help ensure that your process performs consistently. From them, you can, in a precise manner, monitor, control, and improve on process performance over time. This will allow you to be able to predict fluctuations, lower costs and ensure the process has a higher effective capacity.
Failure Modes and Effects Analysis (FMEA)
FMEA is a powerful structured approach that helps you to identify and counter weak points in the early conception phase of products and processes. Using FMEA allows you to analyze any system or subsystem in manufacturing or service industries in the early stages of the process. This systematic methodology identifies potential failure modes in a system caused by either design or process deficiencies. It also identifies critical or significant design or process characteristics that require special controls to prevent or detect failure modes. FMEA improves the quality of products and services and processes by preventing problems from occurring. It documents and tracks action taken to reduce risk while it integrates with the DMAIC methodology.
Histogram
A histogram is used to graphically summarize the distribution of a data set. A histogram is constructed by dividing the range of data into equally sized segments. This data tool enables you to quickly and easily answer several important questions: what distribution does the data have? What is the most common system response? Is the data symmetric or does it contain outliers?
Pareto Chart
A pareto chart is used to graphically summarize the relative importance of the differences between groups of data. A pareto chart is constructed by dividing the range of data into groups. The vertical axis of the pareto chart is the cumulative percentage, and the horizontal axis of the pareto chart is the groups of response variables. Unlike the histogram, the pareto chart is ordered in descending frequency magnitude. The Pareto Chart allows you to focus your efforts to achieve the greatest improvements by identifying the largest issues facing the process. It identifies the 20% of sources that are causing 80% of the problems.
About The Author: http://www.6sigma.us/ Peter Peterka is the Principal Consultant in practice areas of DMAIC and DFSS. Peter has eleven years of experience performing as a Master Black Belt, and has over 15 years experience in industry as an improvement specialist and engineer working with numerous companies.
================== ARTICLE END ==================
- To distribute your articles go to http://www.isnare.com/distribution.php
- For more free-reprint articles go to http://www.isnare.com
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