statistical process control presentation
TRANSCRIPT
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Applications of Statistical Process Control Tools in Apparel Industry
Project Supervisor:
Sir Imtiaz Ahmed Khan
Presenter:
Hera Mazhar (06-NTU-154)
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What is Statistical Process Control? a tool for monitoring and controlling
manufacturing processes.
an analytical decision making tool
It eliminates variation
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History of SPC
1920s – SPC tools were laid for conducting research on quality improvement methods and to lower the costs.
Walter Shewhart of Bell Telephone Laboratories
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History of SPC
Dr. W. Edwards Deming
took the concepts to Japan following WWII
known as the “God of Quality” in Japan
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History of SPC
H.F. Dodge – Bell Labs statistician H.G. Romig – contribution to sampling
inspection Japan World-renowned high quality of Japanese
products
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Eight Basic SPC Tools
Check Sheet Defect Concentration Diagram Scatter Diagram Histogram Pareto Chart Cause-and-Effect Sheet Flow Chart Control Charts
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SPC involves:
Determining the critical process parameters that need to be monitored
Setting up an initial control chart and confirming that the process is in-control, and
Collecting and plotting future data on the chart and interpreting the chart to determine if the process has gone out-of-control.
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What is the importance of application of SPC in Apparel Industry?
Decisions must be made on facts – opinions cannot be risked
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Objectives of the Project Identification and data gathering of the
problems and areas requiring improvement
Check Sheets
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Identification and data gathering of the problems and areas requiring improvement
Defect Concentration Diagram
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Identification and data gathering of the problems and areas requiring improvement
Histograms
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Prioritizing the problems
Pareto Charts
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Analysis of a selected problem
Cause & Effect Diagram
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Flowcharting of the problem Flow Chart
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Development of Control charts and their study
Control Chart
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PDSA Cycle
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What are the advantages of this type of application to the industry?
“Prevention is better than cure”
Focus on prevention rather than detection
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What are the advantages of this type of application to the industry? Places the responsibility for quality in the
hands of the operator Quick and accurate decisions Customer satisfaction Decreased scrap, rework and inspection
costs Decreased operating costs Maximized productivity Predictable and consistent level of quality