ASQ Introduction to Quality Engineering

Introduction

Who should attend:

Engineers, quality control personnel, inspectors, testing personnel, or those interested in the quality engineering profession.

Objectives

• Define basic quality management principles.
• Discuss the relationship of the quality engineer to the quality system.
• Analyze the relationship of statistics to a process.
• Use  process capability and statistical process control to monitor a process.
• Generate acceptance sampling plans and identify and use technical quality tools.
• Incorporate quality technology in design, customer-supplier relationships, Reliability, Availability, and Maintainability (RAM), materials control, measurement, auditing, quality costs and document control within a quality system.
• Apply problem-solving tools and basic statistical concepts, process control and process capability plans, acceptance sampling, and attribute controls.

Content

Overview of Management and Leadership Principles

• Quality Philosophies and Foundations
• The Quality Management System (QMS)
  • Strategic Planning
  • Deployment Techniques
  • Quality Information System (QIS)
• Facilitation Principles and Techniques
• Customer Relations
• Supplier Management

The Quality System

• Elements of the Quality System
• Documentation of the Quality System
• Quality Standards and Other Guidelines
• Quality Audits
• Cost of Quality (COQ)
• Quality Training

Product and Process Design 

• Classification of Quality Characteristics
• Design Inputs and Review
• Reliability and Maintainability

Product and Process Control

• Tools
• Material Control
• Acceptance Sampling
• Measurement System Analysis (MSA) and Metrology

Continuous Improvement

• Quality Control Tools
• Quality Management and Planning Tools
• Continuous Improvement Techniques
• Corrective Action
• Preventive Action

Quantitative Methods and Tools

• Collecting and Summarizing Data
  • Descriptive Statistics
  • Graphical Methods for Depicting Relationships
  • Graphical Methods for Depicting Distributions
  • Continuous Distributions
  • Discrete Distributions
• Statistical Decision-Making
  • Point Estimates and Confidence Intervals
  • Hypothesis Testing and Paired-Comparison Tests
• Relationships between Variables
  • Linear Regression and Simple Linear Correlation
• Statistical Process Control (SPC)
  • Objectives and Benefits
  • Common and Special Causes
  • Selection of Variable and Rational Subgrouping
  • Control Charts
• Process and Performance Capability
  • Process Capability Studies and Indices
• Design and Analysis of Experiments
  • Terminology and ANOVA
  • Planning and Organizing Experiments