STATISTICAL PROCESS CONTROL (SPC)

Statistical Process Control (SPC) is a 'Quality' initiative that involves monitoring, controlling and ideally improving a process through statistical analysis. Its four basic steps include measuring the process, eliminating variances in the process to make it consistent, monitoring the process, and improving the process to its best target value. SSA provides a methodology for understanding this subject which involves deeper interaction with the process control situation. The methodology includes a knowledge sharing through training, and workout for best results. The study of Cases and guidelines for interpretation of results provided in the curriculum helps the executives or engineers to improve quality, increase productivity & reduce cost.

The consultation cum coaching on SPC intends to create an Inhouse resource for the organization that can initiate and accomplish various Statistical analysis for the different business processes and interpret the results to take corrective or preventive measures.

The content of the training for SPC will provide an insight into:

	Creating awareness for the various Statistical tools & other applications
	Getting a hands-on experience on the Statistical Process Control tools to achieve breakthrough improvements in the projects undertaken
	To co-relate the RDMAIC methodology of Six Sigma with the various statistical tools.

Knowledge Transfer in SPC

The Knowledge Transfer & Training in SPC involves the following:

1.	Understanding SPC - A brief history. What is SPC ? Why Statistical Process Control ?
2.	Need for variation reduction
3.	Variations and causes
4.	Variable and Attribute Data
5.	Control Charts and their interpretations Control Charts for Variable Data - X-Bar & R Charts - X-Bar & S Charts - Median Charts - IMR Charts Control Charts for variable Discrete Data - p Charts - np Charts - c Charts - u Charts

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