Quality Training Catalog - Timmins Training Consulting

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TIMMINS TRAINING CONSULTING SDN. BHD. [email protected]

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List of Courses Lean Six Sigma Yellow Belt (LSSYB) Lean Six Sigma Green Belt (LSSGB) Lean Six Sigma Black Belt (LSSBB) Statistical Process Control (SPC) with Minitab Software Design of Experiments (DOE)

TIMMINS Training Consulting 1 Website: consult-timmins.com

Lean Six Sigma Yellow Belt (LSSYB) Duration



3 Days

Introduction/Synopsis

The Lean Six Sigma Yellow Belt Body of Knowledge is a compilation of comprehensive set of topics and subject matters that are intended to be representations of the universally and commonly accepted, minimum competencies and core proficiencies requisite of Lean Six Sigma Yellow Belts. This Lean Six Sigma Yellow Belt Body of Knowledge is diversely recognized as a relevant and practical version of the knowledge expectations of Lean Six Sigma Yellow Belt. It consists of covering the proven phases of Define Phase, Measure Phase, Analyze Phase, Improve Phase and Control Phase. These phases cover the primary sections of Define, Measure, Analyze, Improve and Control phases, which are each broken down into sub-categories consisting of individual subject matter topics.

Learning Objective/Outcome • •

• • • • • •



Learn the basic definitions and terminologies of Lean Six Sigma System. Able to visualize how Lean Six Sigma is deployed within an organization and understand why it’s a proven methodology that helps to save cost while improving quality and sustaining the success. Learn the five phases of a Lean Six Sigma initiative: Define Phase, Measure Phase, Analyze Phase, Improve Phase and the Control Phase. Exposed to a case study of a real Lean Six Sigma project to assist in visualizing the Define, Measure, Analyze, Improve and Control phases of a project. Learn how to use Minitab, a statistical software widely used around the world to analyze data. Experience handling a group work of collecting data to gather real experience in using some statistical tools. Learn a variety of statistical tools and understand how to use them at the different phases of a Lean Six Sigma project. Able to differentiate between Lean and Six Sigma and shown why Lean and Six Sigma methodologies are dependent on one another and a proven strategic system for managing the whole supply chain of a business. Learn the importance of Change Management in relations to Six Sigma Quality Management.







• Six Sigma Roles & Responsibilities The Fundamentals of Six Sigma • Defining a Process • Critical to Quality Characteristics (CTQ’s) • Cost of Poor Quality (COPQ) • Pareto Analysis (80:20 rule) • Basic Six Sigma Metrics Selecting Lean Six Sigma Projects • Building a Business Case & Project Charter • Developing Project Metrics • Financial Evaluation & Benefits Capture The Lean Enterprise • Understanding Lean • The History of Lean • Lean & Six Sigma • The Seven Elements of Waste 5S

DAY 2 Measure Phase • Process Definition • Cause & Effect / Fishbone Diagrams • Process Mapping, Value Stream Map • X-Y Diagram • Failure Modes & Effects Analysis (FMEA) • Introduction to Minitab • How does Minitab work? • Illustrations of Minitab using Descriptive Statistics and Pareto Chart • Overview of overall use of Minitab • Six Sigma Statistics • Basic Statistics • Descriptive Statistics • Normal Distributions & Normality • Graphical Analysis DAY 3 Measure Phase (continue) • Measurement System Analysis • Precision & Accuracy • Gage Repeatability & Reproducibility • Variable & Attribute MSA • Process Capability • Capability Analysis • Concept of Stability • Attribute & Discrete Capability • Monitoring Techniques Control Phase • Statistical Process Control (SPC) • Data Collection for SPC • I-MR Chart and XBar-R Chart • Six Sigma Control Plans • Control Methods • Elements of the Control Plan

Course outline and content DAY 1 Define Phase

Facilitating Methodology







The Basics of Six Sigma • Meanings of Six Sigma • General History of Six Sigma & Continuous Improvement Initiatives • Deliverables of a Lean Six Sigma Project • The Problem-Solving Strategy of Y = f(x) • Voice of the Customer, Business and Employee



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Power Point - Lecture notes will be used to convey fundamental principles Group / Individual Data Collection - To enhance understanding of team work. Discussion and Knowledge Sharing - Participants working in process areas will share real issues and problems to be reflected when discussing the fundamentals of control charts and process

Lean Six Sigma Yellow Belt (LSSYB) •

capability Minitab Statistical Software - This statistical software will be used to generate all the charts and graphs used in SPC

Intended Audience • • • • •

All Quality Managers & Executives involved with Quality All Continuous Improvement Managers / Executives All Project & Program Managers All Engineers & Technical staff involved with Process Improvement Initiatives All Call Centre Managers, Supervisors and Line Leaders

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Lean Six Sigma Green Belt (LSSGB) Duration 5 Days



Introduction/Synopsis

The Lean Six Sigma Green Belt Body of Knowledge is a compilation of comprehensive set of topics and subject matters that are intended to be representations of the universally and commonly accepted, minimum competencies and core proficiencies requisite of Lean Six Sigma Green Belts. This Lean Six Sigma Green Belt Body of Knowledge is diversely recognized as a relevant and practical version of the knowledge expectations of Lean Six Sigma Green Belt. It consists of covering the proven phases of Define Phase, Measure Phase, Analyze Phase, Improve Phase and Control Phase. These phases cover the primary sections of Define, Measure, Analyze, Improve and Control phases, which are each broken down into subcategories consisting of individual subject matter topics.





DAY 2 Measure Phase • Process Definition • Cause & Effect / Fishbone Diagrams • Process Mapping, SIPOC, Value Stream Map • X-Y Diagram • Failure Modes & Effects Analysis (FMEA) • Introduction to Minitab • Six Sigma Statistics • Basic Statistics • Descriptive Statistics • Normal Distributions & Normality • Graphical Analysis • Measurement System Analysis • Precision & Accuracy • Bias, Linearity & Stability • Gage Repeatability & Reproducibility • Variable & Attribute MSA • Process Capability • Capability Analysis • Concept of Stability • Attribute & Discrete Capability • Monitoring Techniques

Learning Objective/Outcome • •

• • • • • •



Learn the basic definitions and terminologies of Lean Six Sigma System. Able to visualize how Lean Six Sigma is deployed within an organization and understand why it’s a proven methodology that helps to save cost while improving quality and sustaining the success. Learn the five phases of a Lean Six Sigma initiative: Define Phase, Measure Phase, Analyze Phase, Improve Phase and the Control Phase. Exposed to a case study of a real Lean Six Sigma project to assist in visualizing the Define, Measure, Analyze, Improve and Control phases of a project. Learn how to use Minitab, a statistical software widely used around the world to analyze data. Experience handling a group work of collecting data to gather real experience in using some statistical tools. Learn a variety of statistical tools and understand how to use them at the different phases of a Lean Six Sigma project. Able to differentiate between Lean and Six Sigma and shown why Lean and Six Sigma methodologies are dependent on one another and a proven strategic system for managing the whole supply chain of a business. Learn the importance of Change Management in relations to Six Sigma Quality Management.

DAY 3 Analyze Phase • Patterns of Variation • Multi-Vari Analysis • Classes of Distributions • Inferential Statistics • Understanding Inference • Sampling Techniques & Uses • Central Limit Theorem • Hypothesis Testing • General Concepts & Goals of Hypothesis Testing • Significance; Practical vs. Statistical • Risk; Alpha & Beta • Types of Hypothesis Test • Hypothesis Testing with Normal Data • 1 & 2 sample t-tests • 1 sample variance • One Way ANOVA • Tests of Equal Variance, Normality Testing and Sample Size calculation performing tests and interpreting results. • Hypothesis Testing with Non-Normal Data • Mood’s Median • Mann-Whitney • Kruskal-Wallis • Friedman • 1 Sample Sign • 1 Sample Wilcoxon • One and Two Sample Proportion

Course outline and content DAY 1 Define Phase •

• Voice of the Customer, Business and Employee • Six Sigma Roles & Responsibilities The Fundamentals of Six Sigma • Defining a Process • Critical to Quality Characteristics (CTQ’s) • Cost of Poor Quality (COPQ) • Pareto Analysis (80:20 rule) • Basic Six Sigma Metrics Selecting Lean Six Sigma Projects • Building a Business Case & Project Charter • Developing Project Metrics • Financial Evaluation & Benefits Capture The Lean Enterprise

The Basics of Six Sigma • Meanings of Six Sigma • General History of Six Sigma & Continuous Improvement Initiatives • Deliverables of a Lean Six Sigma Project • The Problem-Solving Strategy of Y = f(x)

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Lean Six Sigma Green Belt (LSSGB) •

Chi-Squared (Contingency Tables)

DAY 4 Improve Phase • Simple Linear Regression • Correlation • Regression Equations • Residuals Analysis • Multiple Regression Analysis • Non- Linear Regression • Multiple Linear Regression • Confidence & Prediction Intervals • Residuals Analysis DAY 5 Control Phase • The Lean Enterprise • Understanding Lean • The History of Lean • Lean & Six Sigma • The Seven Elements of Waste • 5S • Statistical Process Control (SPC) • Data Collection for SPC • I-MR Chart • Xbar-R Chart • U Chart • P Chart • NP Chart • X-S chart • Control Methods • Control Chart Anatomy • Subgroups, Impact of Variation, Frequency of Sampling • Center Line & Control Limit Calculations • Six Sigma Control Plans • Cost Benefit Analysis • Elements of the Control Plan • Elements of the Response Plan

Facilitating Methodology • • •



Power Point - Lecture notes will be used to convey fundamental principles Group / Individual Data Collection - To enhance understanding of team work. Discussion and Knowledge Sharing - Participants working in process areas will share real issues and problems to be reflected when discussing the fundamentals of control charts and process capability Minitab Statistical Software - This statistical software will be used to generate all the charts and graphs used in SPC.

Intended Audience • • • • •

All Quality Managers & Executives involved with Quality All Continuous Improvement Managers / Executives All Project & Program Managers All Engineers & Technical staff involved with Process Improvement Initiatives All Call Centre Managers, Supervisors and Line Leaders

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Lean Six Sigma Black Belt (LSSBB) Duration 12 Days



Introduction/Synopsis

The Lean Six Sigma Black Belt Body of Knowledge is a compilation of comprehensive set of topics and subject matters that are intended to be representations of the universally and commonly accepted, minimum competencies and core proficiencies requisite of Lean Six Sigma Black Belts.





This Lean Six Sigma Black Belt Body of Knowledge is diversely recognized as a relevant and practical version of the knowledge expectations of Lean Six Sigma Black Belt. It consists of covering the proven phases of Define Phase, Measure Phase, Analyze Phase, Improve Phase and Control Phase. These phases cover the primary sections of Define, Measure, Analyze, Improve and Control phases, which are each broken down into subcategories consisting of individual subject matter topics.

• •

DAY 2 - 4 (3 Days) Measure Phase • Process Definition • Cause & Effect / Fishbone Diagrams • Process Mapping, Value Stream Map • X-Y Diagram • Failure Modes & Effects Analysis (FMEA) • Introduction to Minitab • Six Sigma Statistics • Basic Statistics • Descriptive Statistics • Normal Distributions & Normality • Graphical Analysis • • Measurement System Analysis • Precision & Accuracy • Bias, Linearity & Stability • Gage Repeatability & Reproducibility • Variable & Attribute MSA • Process Capability • Capability Analysis • Concept of Stability • Attribute & Discrete Capability • Monitoring Techniques • Measurement System Analysis Case Study • Micro Process Map Case Study

Learning Objective/Outcome • •

• • • • • •



Learn the basic definitions and terminologies of Lean Six Sigma System. Able to visualize how Lean Six Sigma is deployed within an organization and understand why it’s a proven methodology that helps to save cost while improving quality and sustaining the success. Learn the five phases of a Lean Six Sigma initiative: Define Phase, Measure Phase, Analyze Phase, Improve Phase and the Control Phase. Exposed to a case study of a real Lean Six Sigma project to assist in visualizing the Define, Measure, Analyze, Improve and Control phases of a project. Learn how to use Minitab, a statistical software widely used around the world to analyze data. Experience handling a group work of collecting data to gather real experience in using some statistical tools. Learn a variety of statistical tools and understand how to use them at the different phases of a Lean Six Sigma project. Able to differentiate between Lean and Six Sigma and shown why Lean and Six Sigma methodologies are dependent on one another and a proven strategic system for managing the whole supply chain of a business. Learn the importance of Change Management in relations to Six Sigma Quality Management.

DAY 5 - 7 (3 Days) Analyze Phase • Patterns of Variation • Multi-Vari Analysis • Classes of Distributions • Inferential Statistics • Understanding Inference • Sampling Techniques & Uses • Central Limit Theorem • Hypothesis Testing • General Concepts & Goals of Hypothesis Testing • Significance; Practical vs. Statistical • Risk; Alpha & Beta • Types of Hypothesis Test • Hypothesis Testing with Normal Data

Course outline and content DAY 1 Define Phase •

• The Problem-Solving Strategy of Y = f(x) • Voice of the Customer, Business and Employee • Six Sigma Roles & Responsibilities The Fundamentals of Six Sigma • Defining a Process • Critical to Quality Characteristics (CTQ’s) • Cost of Poor Quality (COPQ) • Pareto Analysis (80:20 rule) • Basic Six Sigma Metrics Selecting Lean Six Sigma Projects • Building a Business Case & Project Charter • Developing Project Metrics • Financial Evaluation & Benefits Capture Strategies of Implementing Lean and Six Sigma in an organization • Difference and Similarities between Lean and Six Sigma • An example of implementing Six Sigma for the whole enterprise. • Other Models of Implementing Six Sigma Lean and Six Sigma Implementation Case Study Project Charter Case Study

The Basics of Six Sigma • Meanings of Six Sigma • General History of Six Sigma & Continuous Improvement Initiatives • Deliverables of a Lean Six Sigma Project

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Lean Six Sigma Black Belt (LSSBB) • • • • •

1 & 2 sample t-tests 1 sample variance One Way ANOVA Tests of Equal Variance, Normality Testing and Sample Size calculation performing tests and interpreting results. Hypothesis Testing with Non-Normal Data • Mood’s Median • Mann-Whitney • Kruskal-Wallis • Friedman • 1 Sample Sign • 1 Sample Wilcoxon • One and Two Sample Proportion • Chi-Squared (Contingency Tables)

DAY 8-10 (3 Days) Improve Phase • Simple Linear Regression • Correlation • Regression Equations • Residuals Analysis • Multiple Regression Analysis • Non- Linear Regression • Multiple Linear Regression • Confidence & Prediction Intervals • Residuals Analysis • Designed Experiments • Experiment Objectives • Experimental Methods • Experiment Design Considerations • Full Factorial Experiments • 2k Full Factorial Designs • Linear & Quadratic Mathematical Models • Balanced & Orthogonal Designs • Fit, Diagnose Model and Center Points • Fractional Factorial Experiments • Designs • Confounding Effects • Experimental Resolution

Facilitating Methodology • • •



Power Point - Lecture notes will be used to convey fundamental principles Group / Individual Data Collection - To enhance understanding of team work. Discussion and Knowledge Sharing - Participants working in process areas will share real issues and problems to be reflected when discussing the fundamentals of control charts and process capability Minitab Statistical Software - This statistical software will be used to generate all the charts and graphs used in SPC.

Case Study / Group Work

In the absence of conducting a project, participants will be the assigned hands-on case study. This case studies will enable the participants to collect data and apply the statistical tools to gain an experience similar to conducting a project. Although these case studies cannot substitute the knowledge gained by doing an actual project, the simulation experienced through these case studies will play a role close enough to conducting an actual project. The following Case Studies will be assigned: 1. Preparation of a Project Charter Case Study 2. Developing a Micro Process Map Case Study 3. Measurement System Analysis Case Study.

Intended Audience • • • • •

DAY 11-12 (2 Days) Control Phase • The Lean Enterprise • Understanding Lean • The History of Lean • Lean & Six Sigma • The Seven Elements of Waste • 5S • Statistical Process Control (SPC) • Data Collection for SPC • I-MR Chart • Xbar-R Chart • U Chart • P Chart • NP Chart • X-S chart • Control Methods • Control Chart Anatomy • Subgroups, Impact of Variation, Frequency of Sampling • Center Line & Control Limit Calculations • Six Sigma Control Plans • Cost Benefit Analysis • Elements of the Control Plan • Elements of the Response Plan

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All Quality Managers & Executives involved with Quality All Continuous Improvement Managers / Executives All Project & Program Managers All Engineers & Technical staff involved with Process Improvement Initiatives All Call Centre Managers, Supervisors and Line Leaders

Statistical Process Control (SPC) with Minitab Software Duration



2 Days

Introduction/Synopsis

Statistical Process Control (SPC) is principally a combination of two different but directly linked statistical tools: Control Charts and Capability Analysis. Control Charts must be used to ensure process stability and Capability Analysis needs to be used to check its capability to meet the desired target and customer specification. Control Charts and Capability Analysis provides a fundamental and powerful way of checking if processes are stable (variation within control) and capable (meeting customer’s target and specification).

DAY 2

Learning Objective/Outcome • • • • • • •

Capable of using Minitab to construct control charts and process capability charts. Learn the basic statistical measures needed to understand Control Charts and Capability Analysis. Able to collect data to be used to check process stability and capability Able to understand how SPC integrates into the total quality system Able to differentiate between process stability and process capability using Control Charts and Capability Analysis respectively Capable of selecting and using the best-suited control chart Able to establish control chart limits.

Course outline and content







Control Chart for Attributes • Fundamentals of Attribute Control Charts • The Control Charts for Fraction Nonconforming (% defective) • The Control Charts for Nonconformities (number of defects) • Application of p-chart, np-chart, c-chart and u-chart. • Use of Minitab for every chart described



Process Capability • Fundamentals of process capability in relation to process stability • Process Capability Analysis using Histogram and Normal Probability Plotting • Process Capability Ratios using Cp, Cpk, Pp & Pp • Use of Minitab to plot graphs and calculate Cp, Cpk, Pp & Ppk.



Applying Principles of Control Charts and Capability Analysis in Day-to-Day Operation • Discussion on how the principles of control charts and capability analysis be used in existing operations. • The use of other statistical tools in relations to control charts and capability analysis tools.

Facilitating Methodology •

DAY 1 •

Control Charts for Variables • Fundamentals of Variable Control Charts • Control Charts for x ̅ and R • I and MR charts for Individual Measurement • Control Charts for x ̅ and s • Use of Minitab for every chart described



Basic Statistics • Understanding mean and standard deviation • Describing Variation • Variables and Attribute Data • Importance of Normal Distribution • Sample and population statistics



Minitab ver. 17 • Understanding the basics of Minitab as a statistical analysis software • Understand the help features in Minitab to enable participants to be able to continuously use Minitab even after the training. • Show that every tool used in this course can utilize Minitab to provide further analysis



Power Point - Lecture notes will be used to convey fundamental principles Group / Individual Data Collection - To enhance understanding of team work. Discussion and Knowledge Sharing - Participants working in process areas will share real issues and problems to be reflected when discussing the fundamentals of control charts and process capability Minitab Statistical Software - This statistical software will be used to generate all the charts and graphs used in SPC.

Intended Audience • • • •

Control Charts and Process Stability • Understand the fundamentals of control charts and its relation to process stability • Chance and Assignable Causes of Quality Variation • Control Limits • Rational Subgroups • Analysis of Patterns on Control Charts • Individual Data Collection to illustrate the fundamentals of control charting techniques.



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All Quality Managers & Executives involved with Quality All Continuous Improvement Managers / Executives All Project & Program Managers All Engineers & Technical staff involved with Process Improvement Initiatives All Call Centre Managers, Supervisors and Line Leaders

Design of Experiments (DOE) Duration

• •

2 Days

Introduction

A design of experiment (DOE) is a structured method for determining the relationship between factors affecting a process and the output of that process. The course will focus heavily on the scientific and statistical methods involved in planning and analyzing DOE in order to yield practical results. Experimental design is a critically important tool for improving a manufacturing process and developing new processes. Connections will be made with between DOE and Six Sigma methodology. Some understanding of basic statistical methods will be needed to complete this course.

• • • • • • • •

Understand the connection between Six Sigma Methodology and Design of Experiments Decide whether to run a DOE to solve a problem or optimize a system Set-Up a Full Factorial DOE Test Matrix Analyze and Interpret Full Factorial DOE Results using ANOVA, (when relevant) and Graphical methods Set-Up a Fractional (Partial) Factorial DOE, using the Confounding Principle Analyze and Interpret the results of a Fractional Factorial DOE Recognize the main principles and benefits of Robust Design, especially Taguchi’s Method. Response Surface Design and its application Utilize the Minitab Software tool to analyze data

Course outline and content







DOE Statistical Analysis • ANOVA Principles for Simple Full Factorial Experiments -- Statistics Basics; Significance Test Methods; Effect of Non-Random Experiments; Estimating Significance Test “Power”; Confidence Intervals; Estimating Random Error • Analysis Plots -- Normal and Half-Normal Plots; Main Effect and Interaction Plots • Using Minitab for Full Factorial DOE Experiments



Fractional (Partial) Factorial Experiments • The Confounding Principle -- How it Works; What Information We Lose with Confounding (and why we might not care!) • Determining Which Factor Combinations to Run • Analyzing Fractional Factorial Experiment Data • Using Minitab for Fractional Factorial Experiments



Robust Design Experiments (Overview) • What is Robustness? • Control and Noise Factors • Classical and Taguchi Robust DOE Set-Up • Comparison between Fractional Factorial • Design and Taguchi’s Method • Understanding Taguchi’s Orthogonal Array Design

Facilitating Methodology •

DAY 1 •



DAY 2

Course Objective •



Experiments Experiment Set-Up Factor Levels, Repetitions, and “Right-Sizing” the Experiment Experiment Terms to Estimate (Main Effects and Interactions)

Introduction: Design of Experiments in relations to Six Sigma Methodology • Describing the connection between the Six Sigma Methodology of Define, Measure, Analyze, Improve and Control and Design of Experiments. • Describing how the results or findings of DOE contributes towards the success of a Six Sigma project. What is DOE? • Types of Designed Experiments • Application Examples • Where DOE Fits in with Other Tools/Methods?

• •



Power Point - Lecture notes will be used to convey fundamental principles Group / Individual Data Collection - To enhance understanding of team work. Discussion and Knowledge Sharing - Participants working in process areas will share real issues and problems to be reflected when discussing the fundamentals of control charts and process capability Minitab Statistical Software - This statistical software will be used to generate all the charts and graphs used in SPC.

Intended Audience •

DOE Requirements Before Conducting an Experiment • Writing Problem and Objective Statements • Ensuring DOE is the Correct Tool for the problem at hand • Selecting Response Variable(s) and Experimental Factors • Data Collection Planning Full Factorial Experiments • Introduction to Cube Plots for 3- or 4-factor 2-level

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• • • •

All Quality Managers & Executives involved with Quality All Continuous Improvement Managers / Executives All Project & Program Managers All Engineers & Technical staff involved with Process Improvement Initiatives All Call Centre Managers, Supervisors and Line Leaders

Short Biography of Speaker Biography Trainer has 14 years of experience in areas of research, production, process and product engineering at multinational companies; managing a learning academy as an educational consultant; lecturing in colleges; consulting and conducting projects as a Six Sigma Black Belt engineer. The Six Sigma Methodology is a problem-solving tool and requires those becoming Six Sigma practitioners to be ‘Change Agents’. The shift in becoming a change agent is also a shift in the way they approach work. Trainer’s Six Sigma expertise compliments his doctoral work on psychological conditioning in terms of the shift in mind-set that happens with the participants. He was also an associate of e-Zsigma Inc. (Canada) where he conducted classes for Six Sigma programs and served as an advisor in matters concerning the Six Sigma curriculum and continuously implementing strategies that will impact or improve the learning curve of their clients. He was a sessional lecturer at McGill University (Canada’s Top University in 2016) where he designed and taught the first Six Sigma course titled Six Sigma Quality Management. This course was offered through the Supply Chain and Operations Management Program through the Department of Continuing Studies. During his tenure at Lean Partner Sdn. Bhd, a Six Sigma Consulting firm, Trainer have trained and coached clients from CIMB, Standard Chartered Bank and open Green Belt and Black Belt courses. As an independent trainer and consultant, He trained and conducted Lean Six Sigma Green Belt programs for clients from Accenture (M) Sdn. Bhd, IBM (M) Sdn. Bhd, Standard Chartered Bank, CIMB Bank, Tan Chong Motors, Scope International, U-Mobile, etc. In addition to his expertise in Lean Six Sigma methodologies, Trainer have published a book titled “The Whole Teacher: Transformational Approaches for Awakening the Teacher Within” in 2014.

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Timmins Clients List

Contact Information TIMMINS TRAINING CONSULTING Suite A27-07, Mercu Summer Suites, 8 Jalan Cendana, Kuala Lumpur, 50250 Malaysia Tel: +603 - 2785 0737 Fax: +603 - 2773 4177 Mobile: +60 1135295347 [email protected] [email protected] www.consult-timmins.com 11