INDUSTRIAL GUEST LECTURE ON TOTAL QUALITY MANAGEMENT & STATISTICAL QUALITY CONTROL , KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Title
INDUSTRIAL GUEST LECTURE ON TOTAL QUALITY MANAGEMENT & STATISTICAL QUALITY CONTROL

Hybrid Event
INDUSTRIAL GUEST LECTURE ON TOTAL QUALITY MANAGEMENT & STATISTICAL QUALITY CONTROL
Guest Lecture Dept. Level
DATE
Oct 14, 2023
TIME
03:00 PM to 03:00 PM
DEPARTMENT
ME
TOTAL PARTICIPATES
133
INDUSTRIAL GUEST LECTURE ON TOTAL QUALITY MANAGEMENT & STATISTICAL QUALITY CONTROL INDUSTRIAL GUEST LECTURE ON TOTAL QUALITY MANAGEMENT & STATISTICAL QUALITY CONTROL
Summary

Guest Speaker: Mr. M. Dhanapal,

     Assistant Manager โ€“ Quality Sueeraa Alloys,

   

Has explain the tools used in Industry with current real time example.

 

Tools and Techniques:

1.     Check sheet:

ยท        Data Collection.

ยท        To present the information in a graphical format.

ยท        Data is read by observing the location and number of marks on the sheet.

ยท        Data is recorded by making marks.

2.     Pareto chart:

ยท        Used to find the level of the problem and sort it out.

ยท        E.g., Processing credit card applications.

3.     Flow chart:

ยท        Process flow chart from the initial stage.

ยท        Example Foundry Process flow (Raw material โ€“ Product).

4.     Fishbone diagram:

ยท        To find the cause of why the material failed and sort it out.

ยท        E.g., Delayed computer chip release.

5.     Histogram:

ยท        It is a graphical representation of the data.

ยท        It enables us to see data which are difficult to see in tables.

ยท        E.g., Overall supplier work.

6.     Scatter Diagram:

ยท        It is a line graph without a line.

ยท        Used to predict the area of relationships between two variables.

 

7.     Control chart:

ยท        It is a method of statistical process control

ยท        It is used in production control

ยท        Upper and lower control and tolerance limits are calculated for a process and sample measures are regularly plotted about the center line between the two limit sets.

ยท        The plotted line corresponds to the stability or trend of the process.

ยท        E.g., Organization responsibility and authority

 


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