This is a shout out for the IEM. My Technical Division will be hosting a seminar on the 5th till 6th December, 2011. It’ll start at 8:30 and is worth 13 CPD hours. You still gotta climb those steps at Wisma IEM. They promise up that the elevator will be ready by the next AGM.
Statistics are tools used to make predictions on performance. There are a number of simple methods for analysing data and, if applied correctly, can lead to predictions with a high degree of accuracy. Statistical Process Control, SPC is a branch of applied statistics for quality control. It is statistical analysis of the predictability and capacity of a process to give a uniform product. SPC is a popular industry tool for the collection, analysis and interpretation of data for use in quality control activities. This module covers the basic concepts of statistical analysis and their application to practical problems in process control.
The concept of SPC is then further extended for multivariate process. Multivariate Statistical Process Control, MSPC procedures allow production personnel to simultaneously observe several variables on one consolidated chart. Second part of the workshop focuses on multivariate extensions for all kinds of univariate control charts, such as multivariate control charts. In addition, we review unique procedures for the construction of multivariate control charts, based on multivariate statistical techniques such as principal components analysis (PCA) and Hotelling’s T2 method.
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Engr. Dr. Lam Hon Loong, is an Assist. Professor with University of Nottingham, Malaysia Campus. He pursued double PhD in Chemical Engineering, 2010 (University of Maribor, Slovenia) and Information Technology, 2011 (University of Pannonia, Hungary). His research topics are process quality control and supply chain synthesis. He has completed his Bachelor Degree, 2000 and Master Degree, 2004 in Chemical Engineering, both from Universiti Teknologi Malaysia with specialisation in process system engineering.
Register here or download the form here. A map to Wisma IEM is presented here.
Wata - Malaysian Oil and Gas Engineer 