Statistical Process Control

Mr. K K Chowdhury comes with 30 + years of experience. He comes with Bachelor of Statistics and also, Master of Statistics from Indian Statistical Institute, Kolkata. He is also having Post Graduate Diploma in SQC & OR from Indian Statistical Institute, Kolkata to his credit.

Mr. Chowdhury is providing Consulting and Training Services to many reputed companies that include both IT and Non-IT companies, namely, I-flex, Wipro, Ashok Leyland, Saint –Gobain, Bangalore, Grasim Industries Ltd, Larsen & Toubro, Reliance Industries, Bander Imam Petrochemical Complex, Iran, Asian Paints, Johnson & Johnson, Indorama Synthetic, Jakarta, Indonesia; Premysis consulting, Jakarta, Indonesia; RW-TUV Iran, Germany in Iran etc. His consulting assignments are on achieving bottom-line business result improvement through using Six Sigma Programme. He conducted several training programs on: Advanced Statistical Techniques; Green belt & Black Belt programme; Black Belt training programme for Software Industries in & around Bangalore; Executive Briefing.

Mr. Chowdhury has many professional laurels to his credit that include : Proctor for the Certification Programme of ASQ; Contributed more than 20 Technical Papers in National & International Journals e.g Quality Engineering of ASQ, TQM,UK etc. and also in conference proceedings; Member of Southern Regional Evaluation Committee for Rajiv Gandhi National Quality Award( RGNQA),instituted by Bureau of Indian Standards ( BIS) for carrying out the fact-finding & evaluation visits involving on the spot assessment; Organising Secretary for the 8th National Convention of National Institution for Quality & Reliability, 1998; Audited more than 50 organisations for certification of Quality Management system –QS-9000/ISO – 9000 in India, Indonesia, Malaysia, Philippines, Thailand and Iran on behalf of KEMA, Netherland.

Achieving high maturity levels in an Organization needs an understanding of many Statistical Concepts that are required to manage processes and projects quantitatively. This requires ability to plan, monitor, understand the cause of variance, control, predict, and improve processes and projects. Workshop on SPC is all about these concepts.

This workshop takes the audience through the journey of statistical concepts and implimentation intricacies by discussing on meaning, understanding, and differences among statistical quality control tools and their use in quantitatively defining, planning, and controlling projects; identifying special causes and common causes behind unacceptable variances and taking corrective and preventive actions.


To foster the understanding of :	By attending this workshop, participants will:
Basic Conceptx of Process, Measures Types of Statistical Data and theirRepresentation and Plotting Simple QC Tools Capability Measures and Distributions Types Control Charts Measurement System analysis for both Variables & Attribute data Failure Mode & Effect Analysis Introduction to Six Sigma	Concepts and use of Statistical Process Control in projects and Organization. Quantitative Management by Planning, Controlling, and Improving.

Concept of Process-SIPOC. Efficiency & Effectiveness Measures of a process. Type of Statistical Data. Measures of Central Tendency & Dispersion. Graphical Summary of data-Histogram. Box plot. Dot plot. Line & Trend Chart, Normal Distribution-Tests of Normality Simple QC Tools-Pareto Chart Cause & Effect Diagram.	Stratification Check-sheet Process Capability Measures--Cp & Cpk Pp& Ppk for Normal & Non normal Distributions Control Charts-Variable: I-MR Chart X-bar & R-chart,X-bar & S-chart & Attribute Control Charts: p, np, c&u charts Measurement System analysis for both Variables & Attribute data Failure Mode & Effect Analysis Introduction to Six Sigma.
		Uma: 99455 41770 Reena: 99455 41773