Northwest Analytical - The Leader in SPC

News and Events Product & SPC Training Course Description
Training:
Applied SPC with NWA Quality Analyst
Course description

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 QA Simulator
NWA QA Simulator

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

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, Breakdown, 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

  • Class divided into small teams to solve quality problems in simulated factory
  • Teams collect data, interpret results, and convince management (the instructors) of necessary changes by presenting compelling charts and clear explanations
  • Highly realistic simulator responds to process adjustments and improvements
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Portland, Oregon, USA - Home of NWA