Quality of a product is avery important characteristic . In todays world no body is ready to compromise on quality . There are so many good brands available for each product that a poor quality product can not survive in the markert. SQC statistical quality control and SPC statistical process control , time tested concepts for ensuring good quality control and also continuous improvements. 

SQC is a very important concept for quality control. In process and quality concepts , we hear about SQC and SPC (Statistical Process Control). We learn about QCP i.e. quality control procedure to ensure proper systems to ensure good quality product. What is this SQC and SPC ?

What is meant by statistics quality control?

Statistical quality control, the use of statistical methods in the monitoring and maintaining of the quality of products and services.

 What are types of statistical quality control?

There are seven basic techniques employed for SQC. These basic techniques are:

(i)               Check sheets,

(ii)             Histograms,

(iii)            Pareto analysis

(iv)            Control chart,

(v)             Cause and effect diagram,

(vi)            Stratification, and

(vii)          Scatter diagram.

 What is the main purpose of statistical quality control?

The main objective of statistical quality control (SQC) is to achieve quality in production and service organizations, through the use of adequate statistical techniques.

There are many statistical tools to device plans to ensure manufacturing and delivery of a quality product. These are very powerful tools and give you dividends if applied without any manipulation. Do good analysys and apply findings , results will come.

Now what is SPC ?

Statistical process control (SPC) is defined as the use of statistical techniques to control a process or production method. SPC tools and procedures can help you monitor process behaviour, discover issues in internal systems, and find solutions for production issues.

Statistical Process Control (SPC) is a statistical method to measure, monitor, and control a process. It is a scientific visual method to monitor, control, and improve the process by eliminating special cause variation in a process.

What are the steps involved in statistical process control?

Statistical Process Control technique steps include detection, study, prioritization, elimination and then charting. Before using quality control software, it's critical to collect proper data for analysis. You should first consider that quality is a sequence of continuous improvement.

 What is the importance of statistical process control?

Real-time SPC helps reduce the margin of error

Because control charts reveal what's going on in a manufacturing line in real time, they allow operators to detect and correct issues before they cause deeper problems in processes and products.

 These techniques give you an insight about the vitalfew that may be responsible for the problems. We are able to detect the assignable causes and make sure that the process is under the influence of chance causes only.

Assignable causes are the causes causing more problems  and easy to elliminate. Chance causes are part of the normal variation and difficult / non-economical to remove.

For example if you right your name 10times some times with left hand and some times with right hand . You will be able to see the difference easily . For ensuring unformity ,you can take a call accordingly.

What are the learnings?

1.     While collecting data – decide what is relevant

2.     Too much data does not mean a good study and a great outcome

3.     Problems may be severe in nature but most the time reason will be simple- do not look for big causes – small cause may have more effect

4.     Do not abuse data

5.     Let the data speak – normally so called experts try to manipulate the data to support their theory.

6.     Look for solution to fix the problem - not for fixing a culprit .

 

Solutions will be found, if total team collaborate without any fear and no efforts are made to hide the facts.

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