This two day training course is based on a proven problem-solving model by Deming, who advocated the PDCA Cycle of Plan-Do-Check-Act. The 7 QC tools are the fundamental techniques used at the different stages in the PDCA cycle.

Dealing with quality problems can be similar to being lost.  You don’t know where you are.  In quality improvement process, problem solvers need to know where they stand, what the problem really is, and what the cause of the problem is before any solutions can be proposed.  Problem solving should follow a logical, systematic method.  This will place emphasis on locating and eliminating the root or real cause of the problem.  Other, less systematic attempts at problem solving run the risk of attempting to eliminate the symptoms associated with the problem rather than eliminating the problem at its cause.  Organized problem-solving efforts utilize a variety of quality tools for problem analysis.  The 7 QC Tools are scientific management tools, which are basic and easy to understand.  They form the fundamental & critical foundation for all problem solving and quality control activities.

• Utilised and appreciate the power in each of the 7 QC Tools
• Construct the tools (manually)
• Effective and efficient problem solving using a step-by-step process
• Analyse, Interpret and make accurate business decisions using the correct tools
• Get involved and experience the Quality Control Circle (QCC) way of presenting an improvement business project to a targeted audience.
• Built the team dynamics in solving problems.
• Use the workable templates to solve problem back in their workplace.

Module 1: CHECK SHEET for Data Collection

• Various types of check sheets
• Choosing suitable type of Check Sheet

Module 2: PARETO DIAGRAM to prioritize which problem to tackle first

• How to prioritize what problem to work on (80/20 rule)
• ‘Vital Fews and Trivial Manys
• How to construct a Pareto Diagram

Module  3: HISTOGRAM to analyze distribution of data

• Characteristics of Histogram
• How to construct a Histogram
• How to interpret what the data is telling you

Module 4: GRAPHS for presentation and monitoring progress

• Type of graphs
• Why use different graphs for different purposes?
• Flowchart and its purpose.

Module 5: CAUSE & EFFECT (FISHBONE) DIAGRAM to identify possible causes

• Characteristics and application of Cause & Effect Diagram
• How to construct a fishbone diagram.
• The Do’s & Don’ts in using a Fishbone diagram.

Module 6: SCATTER DIAGRAM to study the relationship between two different parameters

• Characteristics and application of Scatter Diagram
• How to construct a Scatter Diagram
• How to interpret a Scatter Diagram

Module 7: INTRODUCTION TO CONTROL CHARTS (for process monitoring)

• Different types of Control Charts
• Special & common causes in Control Charts
• How to construct a basic Control Chart.

• Production Manager
• Factory Manager
• Supervisor
• Line Section Head
• Production Staff