7 (+2) Quality Control Tools: Learn with Examples

Hello Friends,

             From this video, we are going to learn another important quality control tool i.e. Run chart in Minitab with the help of practical examples for easy understanding and better clarity.

             This is one of the frequently used tools to look for patterns or trends in your data that indicate the presence of special-cause variation, similar to control charts.

             In this video, we will see the detailed illustration of Terms and Concepts used in Run Chart with Practical Example in Minitab with the help of practical examples for easy understanding and better clarity.

             This video consists of the following topics:

• What is the Run Chart?

• Test for Randomness in Run Chart

• What is a run about the median?

                  1. Mixture pattern

                  2. Cluster Pattern

• What is a run, up or down?

                  1. Oscillating pattern

                  2. Trend Pattern

• Detailed illustration of each concept with the help of graphical representation

Hello Friends,

             In the last video on the Run Chart, we had seen the Introduction of the Run Chart and all concepts used in it with the help of graphical representation.

             In this video, we will see the detailed procedure to draw a Run Chart in Minitab and its detailed interpretation with the help of practical examples for easy understanding and better clarity.

             This video consists of the following topics:

• Hypotheses for Run Chart

• Data considerations (requirements) for Run Chart

• Practical example of the Run Chart

• Create a Run Chart in Minitab

• Detailed interpretation of results for run chart including temporal patterns, clustering, mixtures, trends, oscillations, etc.

Hello Friends,

             We had seen various tools and techniques regarding how to read data and analyze it with the help of some basic tools in last videos, like Pareto chart, Fishbone Diagram, Scatter Diagram, Correlation & Regression, Histogram, and Control chart.

             Every tool I had mentioned will become in the picture once data collection is completed. The power of these tools is effective only when the collection of data is effective.

             And therefore, in this video, I am going to explain very simple, but the most important tools used during data collection, that is, Stratification and Checksheet, with the help of Practical Examples for easy understanding and better clarity.

             This video consists of the following topics:

• Stratification:

                  1. What is Stratification?

                  2. When to use Stratification?

                  3. Procedure to use Stratification

                  4. Practical Example of Stratification

                  5. Considerations for Stratification

• Checksheet:

                  1. What is Checksheet?

                  2. When to use Checksheet?

                  3. Procedure to use Checksheet

                  4. Practical Example of Checksheet

Hello Friends,

             The next concept or tool which we are going to see in this video is very important and used everywhere to study the behavior of variable data.

             It is a Histogram. A histogram is one of the simplest and most commonly used tools to visualize variation.

             This tool is also called as “Frequency Distribution Diagram”. This video talks in detail about when to use this quality control tool.

             The Illustration in the video further contains the creation of a Histogram in Minitab as well as Excel, its interpretation, and required sample size & data considerations to create it. Everything is with practical examples and pictures which will be very easy to understand. This is a basic of the histogram you must know before going into further detailed learning.

Hello Friends,

             An analysis of the histogram is really tricky and explains many meaningful things from the collected data, and those things make this tool a very important tool.

             Before drawing any conclusions from your histogram, satisfy yourself that the process was operating normally during the time period being studied.

             If any unusual events affected the process during the time period of the histogram, your analysis of the histogram shape probably cannot be generalized to all time periods. Therefore, analyzing the meaning of the histogram’s shape is important, which I am going to explain in this video.

             I am explaining all the distributions of histograms starting with Normal distribution, Normality test to detect whether data is normal or not, and many other histogram shapes along with a description of “what they want to say?”

             Everything is with practical examples and pictures which will be very easy to understand. I am sure you will enjoy it and it will make you a master in the interpretation of data.

Hello Friends,

             The Fishbone Diagram is the most used Root Cause Analysis tool widely used in all types of industries to identify the root cause of the problem.

             And therefore, in this video, I am going to explain the Fishbone Diagram in Excel as well as Minitab with the help of Practical Examples for easy understanding and better clarity.

             This video consists of the following topics:

• What is Fishbone Diagram?

• When to use Fishbone Diagram?

• Fishbone Diagram Procedure (6M for Manufacturing Industries)

• Fishbone Diagram Example in Manufacturing

• The 8 Ps (used in product marketing)

• The 4 S (used in service industries)

• Create a Fishbone Diagram in Excel with Practical Example

• Create a Fishbone Diagram in Minitab with Practical Example

Hello Friends,

            In this video, we are going to learn one of the important tools to “Root Cause Analysis” i.e. Scatter Diagram, with the help of practical examples for easy understanding and better clarity.

            This video consists of the following topics:

• What is a Scatter Diagram?

• When to use a Scatter Diagram?

• Example of Scatter Diagram

• Scatter Diagram considerations

• Procedure to draw Scatter Diagram in Microsoft Excel with Practical Example

• Procedure to draw Scatter Diagram in Minitab with Practical Example

• Matrix Scatter Plot

• How to Read the Scatter Plot and types of correlation

Hello Friends,

           The next very important tool in Quality Controls, which I am going to explain in this video is the “Flowchart”. This is also called as “Process Flowchart” and “Process Flow Diagram”.

           A flowchart is a visual representation of the sequence of steps and decisions needed to perform a process. Each step in the sequence is noted within a diagram shape. Steps are linked by connecting lines and directional arrows. This allows anyone to view the flowchart and logically follow the process from beginning to end.

           As I have explained in the video, here is a link for the Flowchart template designed by ASQ:

http://asq.org/sixsigma/2009/04/flow-chart-template.xls

           This video consists of the following topics:

• What is Process Flowchart?

• When to use Process Flowchart?

• Commonly Used Symbols in Detailed Flowchart

• How to create a Flowchart with Practical Example

• Flowchart Considerations with Practical Example

Hello Friends,

             In the efforts of explaining Lean Six Sigma concepts to a deeper level from a practical implementation point of view, I am going to explain “CONTROL CHART” in this video. It is a very important concept/tool and used everywhere in any kind of process to study how a process changes over time.

                 This video consists of the following topics:

• History of Control chart

• What is a Control chart and it’s elements

• Variation and it’s types

• What actions we should take in case of COMMON and SPECIAL Cause variations

• NELSON RULES to identify the presence of Special cause and

• Which test you should select to identify the presence of Special cause and some other things in the 1st part of the video on CONTROL CHART.

Hello Friends,

             After viewing basic concepts in the control chart in the previous video, we are discussing “How to select the correct type of Control chart” in this video.

             There are several factors like data types, sample size, and output required from the control chart. We are discussing these entire things in this video. I have explained all things with practical examples and pictures, which are very easy to understand.

             This video consists of the following topics:

• Types of Data

• Types of Control Chart

• Selection of correct Control Chart type based on-

             1. Types of Data

             2. Whether the data collected in Subgroup or as individual readings

             3. Whether we are interests in Defectives or Defects per unit

• The detailed selection process of Control Charts with Practical Examples and Pictures.

Hello Friends,

             During the learning of Nelson rules, we had talked about the criticality in the selection of correct tests to detect the presence of a special cause.

             Adding more tests of special cause detection to the control chart makes the chart more sensitive, but also increases the chance of getting a false signal which in turn increases TAMPERING to process and make the situation worst due to frequent adjustments. Therefore, you must select correct tests of special cause detection based on the type of control chart.

             This video consists of the following topics:

• Test (Nelson rules) to be used for Variable Control Chart

• Test (Nelson rules) to be used for Attribute Control Chart

• Importance of each Test (Nelson Rule) in the Control Chart

• Impact if we select the wrong Test in the Control Chart, and

• The demonstration of Dr. Deming’s Funnel Experiment (http://www.symphonytech.com/dfunnel.htm)

Hello Friends,

             All the concepts related to the control chart are clear to us in the last 03 videos. Now, let’s start with the creation and interpretation of control charts from this video.

             We had seen mainly 03 charts that are used in the case of Continuous data. These are the I-MR chart, Xbar-R chart, and Xbar-S chart. In this video, I am going to explain the I-MR chart with a practical example for easy understanding and better clarity.

             This video consists of the following topics:

• What is I-MR Chart?

• When to use I-MR Chart?

• Create I-MR Chart with the help of Practical example in Minitab

• How to interpret I-MR Chart and next actions with the help of Practical example in Minitab

Hello Friends,

             In the series of control chart creation, I am going to explain the Xbar-R chart and the Xbar-S chart in this video. Both of these charts are used for variable data.

             An Xbar-R chart plots the process mean (Xbar chart) and process range (R chart) over the period of time for variable data in the subgroup. This combination control chart is widely used to examine the stability of processes in many industries. In the case of the Xbar-S chart, the Range chart is replaced by the Standard Deviation Chart.

             This video consists of the following topics:

• Introduction of Xbar-R Chart and Xbar-s Chart

• When to use Xbar-R Chart

• Create Xbar-R Chart with Practical Example in Minitab

• Interpretation of Xbar-R Chart with Practical Example in Minitab

• When to use Xbar-s Chart

• Create Xbar-s Chart with Practical Example in Minitab

• Interpretation of Xbar-s Chart with Practical Example in Minitab

• Comparison of Xbar-R Chart and Xbar-s Chart

Hello Friends,

             In this video, we are going to learn control charts for Attribute data in detail. The Attribute Control Charts are used when the data is an attribute and we are interested in %Defectives or Defects Per Unit.

             This video consists of the following topics:

• Introduction of Attribute Control Charts

• Selection of Attribute Control Chart based on the application

• Create P Chart with Practical Example in Minitab

• Interpretation of P Chart with Practical Example in Minitab

• Create U Chart with Practical Example in Minitab

• Interpretation of U Chart with Practical Example in Minitab

• Comparison of P Chart and U Chart