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 – Quality Sueeraa Alloys,

   

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

 

Tools and Techniques:

1.     Check sheet:

·        Data Collection.

·        To present the information in a graphical format.

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

·        Data is recorded by making marks.

2.     Pareto chart:

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

·        E.g., Processing credit card applications.

3.     Flow chart:

·        Process flow chart from the initial stage.

·        Example Foundry Process flow (Raw material – Product).

4.     Fishbone diagram:

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

·        E.g., Delayed computer chip release.

5.     Histogram:

·        It is a graphical representation of the data.

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

·        E.g., Overall supplier work.

6.     Scatter Diagram:

·        It is a line graph without a line.

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

 

7.     Control chart:

·        It is a method of statistical process control

·        It is used in production control

·        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.

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

·        E.g., Organization responsibility and authority

 


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