NEW WAVE IN ROBUST QUALITY ENGINEERING

Part 1: Measuring Overall Quality using Robust Quality Index (RQI) Approach
Part 2: Individualized Precision Analytics using dataDragon Approach
By
Dr. Rajesh Jugulum

Part 1: Measuring Overall Quality using Robust Quality Index (RQI) Approach

The term quality should be expanded as a measure of process, data and analytics.  Quality should be measured with a holistic approach by Robust Quality. This workshop will focus on establishing these relationships and explains how robust quality index (RQI) can be used to measure overall quality. Increase in RQI indicates improvements in both data and process quality in the system. The RQI approach, to large extent, intended to minimize the loss to society that is improving quality levels as defined by Dr. Genichi Taguchi.

Part 2: Individualized Precision Analytics using dataDragon Approach

dataDragon analytics platform aims at providing unique individualized insights by analyzing large volumes of data with multiple variables through the use of statistical and process methods.  Further the platform focuses on moving away from population based models/analytics individuals by way of constructing a multivariate measurement scale with ability of measure degree of abnormality (separation) from desired group of individuals.  In this part of the workshop we will focus on dataDragon approach with several case examples.  Besides a demo of this approach will also be made.

Bio

Rajesh Jugulum, Ph.D., is the Chairman and Chief Data Science and Analytics Officer at dataDragon and an Affiliate Professor at Northeastern University.   Prior to this, he held executive positions in the areas of data science, analytics and process engineering at Cigna, Citi Group and Bank of America. Rajesh completed his Ph.D. under the guidance of Dr. Genichi Taguchi.   Before joining industry, Rajesh was with Massachusetts Institute of Technology, where he was involved in research and teaching.  Currently, he is also an affiliate faculty at University of Arkansas, Little Rock.   Rajesh is the author/co-author of several papers and five books including books on robust quality, data quality and design for lean six sigma.   Rajesh also holds two US patents.   Rajesh is a Fellow of American Society for Quality (ASQ) and also a Fellow of Royal Statistical Society (RSS).   His other honors include ASQ’s Feigenbaum medal and International Technology Institute’s Rockwell medal.

Payment Detail

• All mode of payments (bank-in/ bank draft/ cheque/ telegraphic transfer) should be made payable to BENDAHARI UNIVERSITI TEKNOLOGI MALAYSIA

• Registration payment should be made and completed registration form should be submitted the latest by 2nd Feb 2020

• Account details are as follows:

Name of account : Bendahari Universiti Teknologi Malaysia
Account No: 14032010035630
Account Opening Bank: Bank Islam Malaysia Berhad
Bank Address: Bank Islam Malaysia Berhad, Ibu Pejabat Tabung Haji, JalanTun Razak, 50750 Kuala Lumpur, Malaysia
Swift Code: BIMBMYKL
Message: ROBUST QUALITY INDEX & dataDRAGON
(Please write the participant’s full name)

Delegates should bring the original copy of the cash bank-in slip, bank draft or proof of payments or any related document during the workshop registration day.

The fee includes:

Certificate of participation
Refreshment / Lunch

 For online registration, please click the button below.