Certified Quality Improvement Associate Training

Certified Quality Process Analyst is a paraprofessional who, in support of and under the direction of quality engineers or supervisors, analyzes and solves quality problems and is involved in quality improvement projects. A Certified Quality Process Analyst may be a recent graduate or someone with work experience who wants to demonstrate his or her knowledge of quality tools and processes.

By attending the Certified Quality Process Analyst Training Program attendees learn about the tools and the methods to support and become integral members of their organization’s Improvement Team.

Upon completion attendees will:

• Define a quality plan, describe its purpose for the organization as a whole, and know who has responsibility for contributing to its development
• Select, construct, apply, and interpret the basic quality tools
• Define and explain elements of Plan-Do-Check-Act (PDCA)
• Process Improvement Techniques: Six Sigma, Lean, Benchmarking
• Understand Project and Quality Management techniques
• Data Analysis
• Corrective and Preventive Action

Best practices of business modeling methods are transferred by means of short, focused presentations, followed by experiential learning workshop sessions. In these sessions the knowledge gained is applied to real-world examples and case studies. Use of special applications and statistical software’s might be used.

Additionally we will work with the attendees to ensure that they understand the areas which will be covered, and have experienced tests similar to those provided by ASQ.

Our training methodologies include:

• Instructor Led Classes
• Video/Audio support material
• Case studies
• Past exams
• Mock assessment

Course Outlines

• Quality Basics (24 Questions on exam)
• ASQ code of ethics
• Quality planning
• Cost of quality (COQ)
• Quality standards, requirements, and specifications
• Documentation systems
• Audits
• Teams
• Training components
• Problem Solving and Improvement (23 questions)
• Basic quality tools
• Continuous improvement models
• Basic quality management tools
• Project management tools
• Taguchi loss function
• Lean
• Benchmarking
• Data Analysis (35 questions)
• Terms and definitions
• Data types and collection methods
• Sampling
• Measurement terms
• Statistical process control (SPC)
• Regression and correlation
• Hypothesis testing
• Design of experiments (DOE)
• Analysis of variance (ANOVA)
• Customer-Supplier Relations (18 questions)
• Internal and external customers and suppliers
• Customer satisfaction analysis
• Product/process approval systems
• Reliability
• Supplier management
• Elements of corrective and preventive action
• Material identification, status, and traceability