The 7 New QC Management Tools

Course Objectives

These 7 new QC tools are oriented toward managing and planning activities. Research indicates that excellent organizations have succeeded in using the Seven New QC Tools in Systematic Problem Solving and Decision -Making Technique.

• Know the broad range of tools available for process analysis
• Understand the types of situation for which each of the tools is typically used
• Be familiar with the PDCA (plan-do-check-act cycle) improvement
• Cycle and how the tools support the cycle
• Learn the applicable methods for analyzing, mapping, and documenting processes
• Be able to establish means for monitoring and measuring processes
• Understand simple statistical measures used for analyzing data
• Know some types of data distribution and be able to look for and analyze trends in data
• Be able to use survey results to guide process improvement efforts
• How to apply the Continual Improvement methods to real world problems to improve quality at the workplace
• How to apply these tools in the ICC activities.
• Appreciate the need for systematic thinking in Problem Solving & Decision Making situations
• Apprehend and Solve Critical problems
• Make sound decisions when the choice among alternatives is unclear
• Anticipate potential problems and opportunities
• Manage complex issue

Target Audience

Managers, quality executives, officers and relevant staff who are involved in solving management problems.

Methodology

This program involves a wide range of learning approaches, including self – assessment, case studies, small group activities and discussions, interactive lectures, experimental learning group assignments and exercises and presentation and critique.

Course Modules

The training program is a practical guide to implementing the seven new QC tools. Those with little knowledge of statistical analysis also stand to benefit.

This course describes the following elements of the Seven QC tools and other Quality Improvement Techniques:

• Give greater importance to facts than abstract concept
• Use figures derived from specific observational results
• Accept regular tendency that appears in large number of observational results as reliable information
• Apply the statistical methods to real world problems
• Use PDCA system for improvement
• Arrow Diagram
• Tree Diagram
• Relations Diagram
• Affinity Diagram
• Matrix Diagram
• Matrix Data Analysis Method
• Process Decision Program Chart