Introduction To Quality Engineering (ASQ)

Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Nov-18-2024

    1,550

  • Dec-23-2024

    1,550

  • Jan-13-2025

    1,550

  • Feb-10-2025

    1,550

  • Mar-10-2025

    1,550

  • Apr-14-2025

    1,550

  • May-12-2025

    1,550

  • June-09-2025

    1,550

  • July-14-2025

    1,550

  • Aug-11-2025

    1,550

  • Sep-08-2025

    1,550

  • Oct-13-2025

    1,550

  • Nov-10-2025

    1,550

  • Dec-08-2025

    1,550

Course Details

Course Outline

5 days course

 

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.

Course Video