Identifying Primary and Secondary Causes and Effects

OVERVIEW

Webinar presents method used to baseline organization’s effectiveness, efficiency, and reliability of transactional, design, or manufacturing processes. Baseline is important to determine if change is significant improvement.

Once process issues are known, fishbone diagram problem solving and other methods to correct ineffective processes are presented.

WHY SHOULD YOU ATTEND

Traditional methods of Process Improvement demonstrate high failure rates: Business Process Reengineering (BPR) 50% to 85%, Total Quality Management (TQM) 75%, Six Sigma 50% to 90%, and Lean Six Sigma 50% to 95%.

You can increase your odds of success significantly by combining Effective Information Collection, Process Reliability Modeling (PRM), and Fish Diagram for problem solving.

Webinar also includes methods for repairing ineffective processes.

AREAS COVERED

• How to justify improvement projects
• Improvement team selection
• Unbiased qualitative information collection
• Locate potential failure modes with process reliability modeling
• How to construct and apply fishbone diagram problem solving
• Root cause analysis with reality charting
• The model for improvement
• Example of results

LEARNING OBJECTIVES

This training is useful for all the individuals who want to learn process variation counter measures.

WHO WILL BENEFIT

• Quality Managers
• Product managers
• Manufacturing and R&D Managers
• Quality Professionals/Consultants
• ISO Coordinators/Management Representatives
• Engineers and Supervisors
• Laboratory quality professionals

Use Promo Code MKT10N and get flat 10% discount on all purchases

For more detail please click on this below link:

http://tinyurl.com/y2cgdudr

Email: [email protected]

Toll Free: +1-888-300-8494

Tel: +1-720-996-1616

Fax: +1-888-909-1882

Others Details

Understand how to improve organization’s effectiveness through root cause analysis and fishbone diagram problem solving. The webinar also discusses why traditional methods have high failure rates.