Category Archives: 2026 Training (Jun – Dec)

Design of Experiments

DATE: 24 September 2026

TIME: 9.00am – 5.15pm

ONLINE via Zoom

DURATION: 1 full-day course

COURSE OBJECTIVES
After participating in the training, you will be able to:

• Differentiate traditional experimentation and Design of Experiments (DOE) methods.
• Understand and apply crucial DOE concepts.
• Plan a full factorial or a fractional factorial experiment.
• Analyze DOE results.
• Handle confounding effects.
• Develop process models for process predictions and simulations.
• Use Minitab software for DOE analysis.
  

COURSE OUTLINE
1. Types of experimentations
2. Minitab navigation
3. Factorial design and analysis for experimentation
4. Develop process models for process performance prediction and simulations
5. Statistical process control

Measurement System Analysis

DATE: 23 September 2026

TIME: 9.00am – 5.15pm

ONLINE via Zoom

DURATION: 1 full-day course

COURSE OBJECTIVES
After participating in the training, you will be able to:

• Understand when you need to use Gage Repeatability and Reproducibility (GR&R) and Attribute Agreement Analysis (AAA).
• Assess the accuracy and precision of measurement process.
• Assess the effectiveness of inspection and grading system.
• Report performance using the correct statistics.
• Identify improvement areas for instrument and inspection system.
• Use statistical and graphical tools to draw conclusions.

COURSE OUTLINE
1. Introduction to Process and Measurement Sources of Variation (SOV)
2. Difference between GR&R and AAA
3. How to plan for GR&R and AAA
4. Data collection method analysis
5. How to analyse and evaluate the information
6. Minitab application

Acceptance Sampling Method

DATE: 22 September 2026

TIME: 9.00am – 5.15pm

ONLINE via Zoom

DURATION: 1 full-day course

COURSE OBJECTIVES
After participating in the training, you will be able to understand:

• The concept of Sampling Plan.
• Advantages & disadvantages of sampling.
• Types of Acceptance Sampling Plan.
• How to use Sampling Plan graphs and tables.
• The relationship between Acceptable Quality Level (AQL) and Operating Characteristic (OC) Curve.
• Overview of Acceptance Sampling Plan for Attribute ANSI Z1.4/ ISO 2859-1.
• The condition when applying Switching Rules and Acceptance Sampling Procedures.
• The uses of Single Sampling Plans for Critical, Major and Minor Nonconformances.
• The use of Lot Formation and Random Sampling.
• The use of Tightened and C=0 Sampling Plans, Multiple Defects Per Unit Sampling Plans, Double Sampling Plans, and Isolated Lot Sampling Plans.

COURSE OUTLINE
1. Sampling plan concept
2. Advantages and disadvantages of sampling
3. Types of Acceptance Sampling Plan
4. Sampling plan graphs

Effective Root Cause Analysis

DATE: 21 September 2026

TIME: 9.00am – 5.15pm

ONLINE via Zoom

DURATION: 1 full-day course

INTRODUCTION
Root Cause Analysis (RCA) is one of the most common actions required at every organisation, not only to solve day-to-day operational problems but also to play an important role in other improvement activities such as lean sigma, risk management, etc. Root cause analysis involves searching backwards from an undesirable effect (or problem) to its cause(s) and addressing those causes to effectively prevent recurrence.

This training provides the learner with a basic understanding of the principles and techniques of effective root cause analysis and providing concepts needed to effectively perform investigation.

COURSE OBJECTIVES
After participating in the training, you will be able to:

• Understand the principles and techniques of effective root cause analysis.
• Recognise common barriers to root cause analysis and apply techniques to overcome those barriers.
  

COURSE OUTLINE
1. Challenges in root cause analysis
2. Benefits of effective root cause analysis
3. Symptoms vs cause of the problem
4. Contributing factor vs root cause
5. Types of root cause
6. Root cause analysis problem solving model
7. Root cause analysis tools
8. Actions to prevent future problem – corrective action preventive action
9. Human error
10. Root cause analysis in a regulated environment
11. Tips for performing effective root cause analysis

Statistical Process Control and Capability Analysis

DATE: 10 September 2026

TIME: 9.00am – 5.15pm

ONLINE via Zoom

DURATION: 1 full-day course

COURSE OBJECTIVES
After participating in the training, you will be able to:

• Differentiate the different data types.
• Understand process variation and process stability.
•  Select, analyse, and interpret control charts.
•  Differentiate the different types of process instability.
•  Select the appropriate method to determine the current process capability.
•  Using Minitab software for process control and capability analysis.

COURSE OUTLINE
1. Discrete data and continuous data
2. Minitab navigation
3. Determine process capability
4. Identify process instability and develop improvement strategies
5. Use the right control chart