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Dorian Shainin was an American quality consultant and engineer notable for developing the "Red X" concept for industrial problem solving and product reliability. Shainin tools provide a simplified approach to Design of Experiments to logically identify root causes of variation. The key Shainin tools are Iso Plot, Multivari, Component Search and Variable Search, Group Comparison, and Precontrol (stoplight control). Shainin referred to root causes as "Red X" primary causes, "Pink X" secondary causes, and "Pink-Pink X" minor but still controllable causes.
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Elimination of wastage is one of the main criteria for “All inclusive growth”. Among the seven kinds of waste in Lean Toyota Production System – wastage on rework and scrap is a vital one. To minimise this waste the root cause of the chronic issues are to be identified and the manufacturing process is to be made robust. When solving chronic issues, on many occasions, the solution is found to be modifying current product / process specifications. This is because the traditional practice of accepting conformance to specification as gateway to quality – has camouflaged the root cause. Hence use of Scientific tool like Shainin Techniques which is impervious to specification will enhance the finding of root cause – in long standing chronic issues.
Shainin Technique is a problem solving tool which is used to solve the chronic problems in simple manner.
Dorian Shainin , an American famous statistician has developed these techniques based upon more than 50 years of his experience. There is a famous saying at Motorala, wherein these techniques are used to attain “six sigma” Shainin Philosophy is that “Do not let the engineers do the Guessing,Let the parts do the Talking”.
Shainin techniques
The Shainin technique is a problem-solving methodology used for quality improvement. It involves defining the problem, quantifying it, generating clues, performing experiments in repeated trials to evaluate the problem when "on" and "off", and establishing new tolerances to fix improvements. Variability is applied within a unit, across similar units, and over time by comparing best and worst samples to find differences in medians and experiment ranges and identify the exact cause.
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Control charts are graphs used to monitor quality during manufacturing. They allow issues to be identified and addressed early to maintain consistent product quality. Key aspects of control charts include:
- Plotting statistics like the mean or range of sample measurements over time
- Using statistical limits to identify processes that are in or out of control
- Interpreting patterns in the charts to determine if corrective action is needed
Control charts enable manufacturers to efficiently produce uniform products by catching problems early and avoiding unnecessary adjustments to processes that are performing normally.
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Dear All, This is very comprehensive training on application of 7QC tools in industry. There is now a common demand in every industry to improve and control the process by achieving product quality with integrity. These 7-QC tools are very useful to fulfil industry demand by controlling the process. I am expecting your kind suggestions and comments to improve my presentation further. Thanks a lot everyone for your time to read this presentation. I hope it will definitely give some value addition in your routine life. Thanking you!
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Elimination of wastage is one of the main criteria for “All inclusive growth”. Among the seven kinds of waste in Lean Toyota Production System – wastage on rework and scrap is a vital one. To minimise this waste the root cause of the chronic issues are to be identified and the manufacturing process is to be made robust. When solving chronic issues, on many occasions, the solution is found to be modifying current product / process specifications. This is because the traditional practice of accepting conformance to specification as gateway to quality – has camouflaged the root cause. Hence use of Scientific tool like Shainin Techniques which is impervious to specification will enhance the finding of root cause – in long standing chronic issues.
Shainin Technique is a problem solving tool which is used to solve the chronic problems in simple manner.
Dorian Shainin , an American famous statistician has developed these techniques based upon more than 50 years of his experience. There is a famous saying at Motorala, wherein these techniques are used to attain “six sigma” Shainin Philosophy is that “Do not let the engineers do the Guessing,Let the parts do the Talking”.
Shainin techniques
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This document discusses statistical process control (SPC) techniques for managing quality. It covers various SPC methods including error detection, error prevention, and process control systems. The benefits of SPC include controlling processes, predicting behavior, avoiding waste, and achieving defect prevention. Key SPC tools include data collection, summarization using charts, histograms, and control charts to monitor processes and detect issues. The document also discusses process capability, measurement of variation, and using frequency distributions and histograms to analyze process capability.
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Control charts are graphs used to monitor quality during manufacturing. They allow issues to be identified and addressed early to maintain consistent product quality. Key aspects of control charts include:
- Plotting statistics like the mean or range of sample measurements over time
- Using statistical limits to identify processes that are in or out of control
- Interpreting patterns in the charts to determine if corrective action is needed
Control charts enable manufacturers to efficiently produce uniform products by catching problems early and avoiding unnecessary adjustments to processes that are performing normally.
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shainippt
- 1. Shainin Tool Presented by- Rahul Thakur
- 2. Dorian Shainin • Born on September 26, 1914 • American quality consultant, aeronautics engineer, author, and college professor. • Most notable for his contributions in the fields of industrial problem solving, product reliability, and quality engineering, particularly the creation and development of the "Red X" concept • Dorian Shainin died on January 7, 200 "Talk to the parts; they are smarter than the engineers."
- 3. Definition Shainin tool is consider to be the simplified form of Design of Experiment(DOE) Technique. Shainin Tools are a series of steps to logically identify the root cause of variation. Shainin refers to root cause factors as the “Red X”, “Pink X”, and “Pink-Pink X” causes
- 4. Root Cause Red X – the primary cause of variation Pink X – the secondary causes of variation Pink-Pink X significant but minor causes of variation (a factor that still can be controlled!)
- 5. Shainin Analyses tools Iso plot Multivari Component Search and Variable Search Group Comparison Precontrol (spotlight)
- 6. Iso Plot
- 7. Multivari
- 8. Component Search and Variable Search
- 11. References An Overview of the Shainin System for Quality Improvement By Stefan H. Steiner and R. Jock MacKay https://uwaterloo.ca/business-and-industrial-statistics-research- group/sites/ca.business-and-industrial-statistics-research- group/files/uploads/files/rr-06-03.pdf Wikipedia Google Search TQM by Dale H.Besterfield & Glen H.Besterfield Youtube
Editor's Notes
- 30 samples
- Diameter of shaft
- Asembly disassembly
- Binary defect or no defect
- Red-stop Yellow- caution Green- go for it