In this two-day, hands-on seminar, participants first gain expertise using NWA Quality Analyst while applying statistical quality control techniques in classroom exercises. The class then works in teams to solve problems in a simulated manufacturing process. Attendees learn how to maximize their use of NWA Quality Analyst as well as exploit the advantages of the Windows environment.

NWA Training Seminar

Overview of SPC

• The Advantage of Graphical Analysis
• Relationship of Quality and Variation
• Variable vs. Attribute Data
• Terms and Definitions

Review of SPC Tools

• Histograms and the Distribution of Data
• Control Charts and How They Work
• Pareto Diagrams
• Process Capability
• Variable vs. Attribute Charts

Using NWA Quality Analyst

• Overview
• Data Types
• Data File Creation and Manipulation
• Creating Control Charts
• Integration with Other Software
• Advanced Applications

NWA Quality Analyst Exercises

• Using the Data File Editor
• Configuring the Graphics Viewer
• Creating and Analyzing Control Charts and Process Capability Histograms
• Pareto Analysis and Attribute (Defect) Charts
• Using Filters, Drill-down, and Data Manipulation
• Connecting to External Databases (ODBC & SQL)
• Creating and Using Run Files (Automation Scripts)
• Assignable Cause & Corrective Action Setup and Reporting
• Selected Topics

Making Control Charts Succeed

• Statistics as a Basis for Action
• Detecting and Correcting Problems
• The Hazards of Existing Data
• Understanding Statistical Control
• Interpreting Control Charts
• Control Limits vs. Specifications

Sampling and Rational Subgrouping

• Effect on Chart Behavior
• Making the Chart Represent the Process
• Common Sampling Problems

Integrating NWA Quality Analyst with Other Software

• Exchanging Data and Other Information
• Database Connectivity
• Batch Processing
• Graphics Exporting

Applying SPC to a Simulated Process

• Frequency and Pattern of Sampling
• Cost and Management of Data Collection
• SPC Chart Interpretation and Presentation

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