introduction
Optimization means efforts to achieve the desired outcome out of a process. Let us visualize a process. A process has an output (we refer to as Y-metric), and the output is made of many factors at the input side (we refer to these factors as Xs’). To get the Y-metric to a desired level or value means aiming Y-metric at the target. In order to make this happen, the X factors must be manipulated in such a way Y-metric will achieve the set target. Normally there is more than one combination of the X factors that can result from this. This course teaches the participants about optimizing a process input parameter – then selecting the most practical (and economical too) one. Sometimes we are investigating just one single X factor, but most of the time these X factors are investigated simultaneously.
The other key learning in this course is the process outcome validation. When improvements are made, we are actually touching the X factors, and the result in Y-metric is monitored in real-time. Participants will learn the two elements monitored in Y-metric – the movement of the average and the shift in the spread size. Statistical tests are used to check the significance of the process outcome at the optimized (improved) setting of X parameters. Participants will be taught to confirm the improvement effectiveness by statistical testing methods. Based on the statistical analysis a correct action can be planned to improve the process further.
- Date : September 2023
- Time : 9.00 am ~ 5.00 pm
- Venue : Amari Spice, Penang
- Trainer : Mr Nagarajan Sithamparam
- SBL-Khas : Programme No: 000000000000
Objective
- Understand how to coordinate existing data collection or to perform small experiments for optimization purposes
- Validate the effectiveness of improvement activities judging from the significance of the result obtained
- Condition the data collection and analysis depending on the types of data at both the process inputs and process outputs
- Interpret the statistical validation result and take appropriate action on the process under investigation
Who Should Attend?
This course is designed for all Engineers, Technicians, process owners from Production, QA, and R&D
methodology
Participants will be taught on the application of the concepts learnt by using the industry examples followed by relevant case studies and simulations through lecture, online activity, Quiz and Assessment.
Day 1
8:30 Registration
9:00 Webinar Begins
10:30 Coffee Break
10:50 Webinar Resumes
12:50 Lunch
14:00 Webinar Resumes
15:30 Tea Break
15:45 Webinar Resumes
17:00 Day 1 Webinar Ends
ABOUT PROCESS OPTIMIZATION
- Meaning of optimization
- IPO chart of a process
- Case 1: Maximizing the Y
- Case 2: Minimizing the Y
- Case 3: Setting the Y to a value or level
- The X factors combination
SINGLE LINEAR REGRESSION
- Function of a scatter diagram
- What do we look for in a scatter diagram
- Writing the X – Y relationship
- Interpreting the Single Linear
- Regression Equation
- Data collection discipline
MULTIPLE REGRESSIONS
- Redraw the process IPO chart
- Simple Linear Regression vs Multiple Regression
- Initial symptoms to look for in historical data
- Regressing the X factors
- Interpreting the Single Linear
- Regression Equation
- Data collection discipline
PUTTING REGRESSION IN REAL APPLICATION
- Where can we use regression technique
- The common mistakes in regression exercises
- Planning the data collection
Summary and Q&A Session
End of Day 1
Day 2
8:30 Registration
9:00 Webinar Begins
10:30 Coffee Break
10:50 Webinar Resumes
12:50 Lunch
14:00 Webinar Resumes
15:30 Tea Break
15:45 Webinar Resumes
17:00 End of Webinar
ABOUT STATISTICAL VALIDATION TESTS
- What are we testing?
- Various statistical tests
- Normality of data under investigation
- Number of data required
TEST FOR EQUAL MEANS
- Recall the objective of the test of equal means
- Types of tests available
- When to use which test
- Case 1:1-sample t-test
- Case 2: 2-sample t-test
- Case 3: ANOVA (for 2 samples)
- The power of the test of means
- The shortfalls
TEST FOR EQUAL VARIANCES
- Recall the objective of the test of equal means
- Types of tests available
- When to use which test
- Case 1: 1 variance
- Case 2: 2 variances
- Case 3: > 2 samples
- The power of the test of variances
- The shortfalls
PUTTING STATISTICAL TESTS IN REAL APPLICATION
- Where can we use statistical tests
- The common mistakes in statistical testing exercises
- Planning the data collection
Summary and Q&A Session
End of Webinar
Trainer
Mr Nagarajan is a graduate from University Putra Malaysia. He specializes in Quality management system, Manufacturing process, process auditing and Industrial 4.0 execution & implementation in manufacturing. He is also a professional trainer specializing in manufacturing best practices in performance improvement, cost reduction and perfect execution within the organization. He has over 23 years of manufacturing experience in the areas of quality system, auditing, project management, risk assessment and process improvement.
He is highly passionate about human potential and believes that anyone can achieve ‘Peak Performance’ with the right attitude, guidance and knowledge. He strongly believes that every individual is capable of maximizing his or her own potential and talent to achieve excellence and they should continuously pursue the creative discovery of their abilities.
Some of his training assignments include process improvement, lead time reduction, cost reduction, GD&T implementation, Data analytics and modelling new business approach. He has travelled and worked in Malaysia, Singapore, China, USA, Mexico and Holland.
He is passionate in organizations fulfilling customer needs and values with the expected quality or beyond, using the principles that is available today. As an industrial quality person, he has taught many participants on the principles of being a quality person and have had the opportunity to see differences being made and more success being derived out of the concepts learned.
He makes the training interesting by utilising brainstorming activities and group assignment within the participant in order to have a more logical implementation idea. He believes that each and every single challenge can be converted into opportunities effectively. His various experience across global has proven he is capable of achieving what is required.