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Sumeet Savant - Control Charts

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Sumeet Savant Control Charts

Control Charts: summary, description and annotation

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Understanding the concept of Control Charts for Six Sigma, knowing how to create Control Charts, understanding the various types of Control Charts and the differences between them has never been easier!
Have you ever wanted to monitor your companys processes using Control Charts?
Have you ever wanted to monitor your customers processes using Control Charts?
Have you ever wanted assurance whether your processes are in control based on the most reliable statistical tools?
If the answer to any of these questions is yes, you need look no further.
Lean Six Sigma Master Black Belt Mentor and Coach, Sumeet Savant, with more than a decade of experience in executing, leading, and mentoring hundreds of Lean Six Sigma improvement projects brings to you a simple, straight forward, no nonsense book which will enable you understand the concept of Statistical Process Control and Control Charts to successfully utilize them to achieve the process improvements you have always dreamt of, quickly, effectively, and efficiently.
He shares his belief: For your process improvements to be considered successful, you need statistically proven tools to ensure that your processes are stable, and are enabled with an effective strategy to catch special causes in your processes, and there is no other better means for achieving this other than the Control Charts.
Do Act Now and have a LOOK INSIDE the short book to have a brief experience of the immensely valuable information it has in store for you.
With this book, you will get to,
- Know, understand and appreciate what is Statistical Process Control, Run Charts and Control Charts.
- Know, undestand, and appreciate the concepts of elements of a Control Chart in detail.
- Know and understand the patterns to spot Special Causes like Runs, Mixtures, Oscillations, Clusters, Trends, Shifts, and Astronomical Points.
- Know and understand the Attribute and Continuous Data Types that can be used with Control Charts.
- Know and understand the Differences between Defects and Defectives, Subgroups and its Size.
- Know and understand the various essential Control Charts like u Chart, c Chart, p Chart, np Chart, IMR Chart, XBar R Chart, and XBar S Chart.
- Know and understand the scenarios under which the different Control Charts can be effectively used.
- Study one case study most relevant for each of the mentioned charts.
- And know all these and much more in the least number of words possible to help you improve your processes and reduce process variations faster.
This may very well be the last book you will ever need to learn SPC and Control Charts for Six Sigma and achieve overall improvements in your processes, services, and products.
We are sure about it! And, so will you be!

Sumeet Savant: author's other books


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Table of Contents Start Control Charts Six Sigma Thinking Series Sumeet Savant - photo 1

Table of Contents

Start

Control Charts

Six Sigma Thinking Series

Sumeet Savant

(c)2019, Sumeet Savant

All rights reserved

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A BOUT THE AUTHOR

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S umeet Savant is a Lean Six Sigma Master Black Belt Mentor and coach, with more than a decade of experience in executing, leading and mentoring Lean Six Sigma process improvement projects. He is a BTech, MBA, and Prince certified Practitioner. He has facilitated hundreds of process improvement projects, and coached hundreds of professionals, Yellow, Green, and Black Belts over the years. He lives in Mumbai, India with his family.

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Control Charts
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C ontrol Charts

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I n simplest terms, Control Charts are,

Run Charts .

Used in Statistical Control Process .

To determine if your business processes are in control .

Making use of Control Limits .

Over the performance of your business processes derived from the voice of processes .

They are also known as Shewhart Charts .

After Walter Andrew Shewhart .

We will look at each of these terms to understand the concept in detail.

The following figure depicts a control chart,

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S tatistical Process Control

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I n simplest terms, Statistical Process Control (SPC) is,

A Quality Control Methodology .

That makes use of statistical tools .

To monitor a process .

And keep them in control .

To ensure that your business processes operate efficiently and effectively .

And produces specification-conforming products with minimum waste .

SPC makes extensive use of Control Charts .

The following figure depicts the concept of Statistical Process Control,

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V oice of Process

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P rocesses are gauged on their performance based on certain key metrics which indicate the overall health of the processes.

These measurements enable the business processes to 'talk' and give them their 'Voice'.

Hence, the Voice of the Process (VOP) is the means through which the process 'communicates' with the organization on its performance against customer needs and expectations.

The Voice of the Process (VOP) is captured through measurements of the key metrics and performance indicators and describe how the overall processes are performing in their current state.

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R un Charts

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R un Charts in the simplest terms are line graphs that are used to plot the performance of the processes over time.

They are also known as Time Series Graphs as the X-Axis of the chart or graphs is the time unit, which can be days or minutes, or months etc.

They tell you how the processes are running or performing over time.

The Process Performance can be gauged by the following from the Run Charts,

Trends .

Patterns .

Cycles .

Shifts .

The following figure depicts an example of a Run Chart used in SPC,

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S tability and Control Charts

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