INTRODUCTION FOR PROBLEM SOLVING 7QC TOOLS

7 QC Tools is simple but effective “tools of improvement” are widely used as “graphical problem-solving methods” and as general management tools in every process between design and delivery. The challenge for the manufacturing industry is for: “Everyone to understand and use the improvements tools in their work”.

Furthermore, in today competitive manufacturing world, management has to empower employees to be more proactive in dealing with quality and process issues for continual improvement this can benefit and add values to both the organization and their employees.

The 7 QC tools are fundamental instruments to improve the process and product quality. These are the tools which facilitate the organization to resolve the basic problems. These 7 QC tools are easy to understand and implement and does not need complex analytical/ statistical competence.

COURSE OBJECTIVES

Upon return to workplace, participants will be able to :

• Use effective problem-solving tools for quality and productivity improvement;
• Understand simple statistic and common-sense techniques;
• Able to use 7 QC Tools to identify problem causes, analyse data, do evaluation and rectify problem.

COURSE CONTENT

Module 1

Introduction to Plan-Do-Check-Action (PDCA) Methodology

• Why improvements?
• Introduction to PDCA Deming Improvement Cycle
• Brief overview of various 7 QC Tools
• Differences between 7 QC Tools and 7 MP Tools
• Data Collection / Check sheets

Module 2

Data collection introduction

• Why are data collected?
• What kinds of data are collected?
• Common mistakes and errors made in data collection
• Recording Check sheets,
• Video – Data Collection / Check sheets

Module 3

Pareto Diagram

• Pareto principle, Prioritization using 80/20 rules
• Why are Pareto Diagrams used?
• When and How to use Pareto Diagrams?
• Video – Pareto Chart

Module 4

Cause and Effect Diagram

• Brainstorming techniques
• Importance of Cause-and-Effect Diagram
• When and How to use Cause and Effect Diagram?
• How to develop and prepare Cause and effect Diagram
• Critical Factors to consider

Module 5

Histogram

• How to draw Histogram?
• What information we can get / extract from Histogram?
• Data characteristics – Central tendency, Dispersion and Spreadness and Shape / Pattern analysis
• Exercise – Using MS Excel

Module 6

Scatter Diagram

• What is Scatter Diagram?
• Relationship of data
• When and How to use Scatter Diagram?
• Mutual correlation analysis using Simple Linear Regression and Coefficient Correlation
• Exercise – Using scientific calculator, MS Excel and Minitab Software
• Exercise – Using MS Excel

Module 7

Charting / Graphs / Control Charts

• Common Graph and Charting
• Trend and pattern analysis
• Flow Charting
• Exercise – Using MS Excel

Module 8

Stratification

• What is Stratification?
• Stratification principle
• When and How to use Stratification?
• Exercise