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