Industrial Process Optimization by Design of Experiment (DOE)

TRAINERS: 

ASSOCIATE PROFESSOR dr Hanita Daud, Dr Rajalingam Sokkalingam & ASSOCIATE PROFESSOR Dr Mahmod Othman

ELIGIBILITY (MEETING ALL 3 CRITERIA) :

MALAYSIAN

UNEMPLOYED

DIPLOMA/DEGREE GRADUATES 2019 - 2022

 

12 SEPTEMBER -

21 OCTOBER 2022

 

UNIVERSITI TEKNOLOGI PETRONAS

 

9.00AM - 5.00PM

 

FULLY FUNDED PROGRAM BY KPT

CONTENT SUMMARY

INTRODUCTION

This program aims to upskill graduate knowledge and skills related to process optimization that are commonly used in industries such as engineering, manufacturing and related sectors. It will expose the students to the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.

Design of Experiment (DOE) is one of the most powerful improvement tools and very useful to those who are dealing with processes and products. It is a strategic, enabling methodology to improve process yields and product quality. At the same time, it reduces the product development time and overall costs by changing one or more process characteristics after studying their effects on the product. In recent years, DOE has been used as a key driver for many quality improvement initiatives. This practical course addresses the essentials of DOE to ensure a succesful implementation of this improvement tools. In addition, the application of Design Expert software in DOE implementation could further enhance the analysis process.

The delivery of this program is just in the right time with the current pandemic situation where most of the SMEs are needed/required to optimize their resources to obtain optimum outputs.

COURSE CONTENT                                           

Introduction
  • Introduction to DOE
  • Objective of DOE
  • Uses of DOE
  • Rationale for Adopting DOE
  • References and Software
  • Industry Application – Actual

Statistical Analysis

  • Basic Statistical Analysis
  • Normal Distribution
  • Hypothesis Testing
  • Tests
Analysis of Variance (ANOVA)
  • The idea of ANOVA
  • How to run an ANOVA
  • One-Way ANOVA
  • Two-Way ANOVA

Introduction to Factorial Designs 

  • Design of Factorial Experiments
  • General 2K Factorial Designs
  • Blocking and Confounding in the 2K Factorial Designs
  • Fractional Factorial Designs
Correlation and Simple Linear Regression Model
  • Introduction to Correlation and test
  • Linear Regression
  • Estimating Parameters by Least Squares Method
  • Assessing or Evaluate the Model
  • Multiple Linear Regression Model

Use of software

  • Design Expert Software
  • Response Surface Methodology (RSM)


OBJECTIVES

At the end of this training program, participants will be able to:

  • Understand the concept and principals of DOE and its techniques for optimization problems
  • Apply existing software to analyse data and results from the optimization techniques. 


WHO SHOULD ATTEND?

  • Malaysian 
  • Unemployed 
  • Graduated From 2019, 2020, 2021 & 2022





OUR TRAINERS

1. Associate Professor Dr Hanita Daud  (UTP)

AP Dr. Hanita Daud, is currently an Associate Professor in the Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS. She obtained her Ph.D. degree in 2013, from Universiti Teknologi PETRONAS in mathematical modelling. Her M.Sc. degree in 2001, from Universiti Kebangsaan Malaysia is in Artificial Intelligence. Her research interest includes mathematical/statistical modelling, non-parametric applications, and remote monitoring system. She has been actively participating in National and International exhibitions and has won numerous awards in these fields. Currently she is collaborating with industries in developing methodology to solve various applications and problems

2. Dr Rajalingam Sokkalingam  (UTP)

Dr. S. Rajalingam, is a Senior Lecturer in the Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS. Previously he was in the Department of Electrical and Electronic Engineering at Curtin Malaysia, conducting teaching and research in Mathematics and Statistics. He received the M.Sc. in Industrial Technology and Ph.D. degrees in Mathematics from UKM and UMS, respectively. He has a total of 25 years of working experience with 12 years in the manufacturing industries and another 13 years in education. He possesses good experience in computer laboratory sessions and some related mathematics and statistical software, such as Maple, SPSS and Expert Design.

3. Associate Professor Dr. Mahmod Othman  (UTP)

AP Dr. Mahmod Othman, is currently an Associate Professor in the Department of Fundamental and Applied Sciences at Universiti Teknologi PETRONAS. He has more than 30 years working experience. He earned his doctorate in Fuzzy Evaluation from Universiti Utara Malaysia, in 2005. His research concentrated Fuzzy Time series Forecasting, Flood management and prediction and Fuzzy grading system for Harumanis mango. He has published over 70 articles in international journals and conference proceedings and has delivered over 45 lectures in the international conferences as well as five books and 3 book chapters.

COUNTDOWN

REGISTRATION

This is A FULLY FUNDED PROGRAM  BY KPT

ALLOWANCE & CERTIFICATE WILL BE PROVIDED*

*SUBJECTED TO TERM AND CONDITIONS

FIRST COME, FIRST SERVE


OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my