/  ASQ Introduction to Quality Engineering Training

ASQ Introduction to Quality Engineering Training

BMC Training provides a training course in ASQ Introduction to Quality Engineering in Quality and Productivity

Course Title
Venue
Start Date
End Date
  • Kuala Lumpur
    14 - 10 - 2018
    18 - 10 - 2018
  • Istanbul
    7 - 10 - 2018
    11 - 10 - 2018
  • Muscat
    14 - 10 - 2018
    18 - 10 - 2018
  • London
    18 - 11 - 2018
    22 - 11 - 2018
  • Dubai
    25 - 11 - 2018
    29 - 11 - 2018
  • Paris
    18 - 11 - 2018
    22 - 11 - 2018
  • Kuala Lumpur
    2 - 12 - 2018
    6 - 12 - 2018
  • Istanbul
    23 - 12 - 2018
    27 - 12 - 2018
  • Muscat
    2 - 12 - 2018
    6 - 12 - 2018
  • London
    27 - 1 - 2019
    31 - 1 - 2019
  • Dubai
    6 - 1 - 2019
    10 - 1 - 2019
  • Paris
    27 - 1 - 2019
    31 - 1 - 2019
  • Kuala Lumpur
    10 - 2 - 2019
    14 - 2 - 2019
  • Istanbul
    3 - 2 - 2019
    7 - 2 - 2019
  • Muscat
    10 - 2 - 2019
    14 - 2 - 2019
  • London
    17 - 3 - 2019
    21 - 3 - 2019
  • Dubai
    24 - 3 - 2019
    28 - 3 - 2019
  • Paris
    17 - 3 - 2019
    21 - 3 - 2019
  • Kuala Lumpur
    7 - 4 - 2019
    11 - 4 - 2019
  • Istanbul
    28 - 4 - 2019
    2 - 5 - 2019
  • Muscat
    7 - 4 - 2019
    11 - 4 - 2019
  • London
    12 - 5 - 2019
    16 - 5 - 2019
  • Dubai
    19 - 5 - 2019
    23 - 5 - 2019
  • Paris
    12 - 5 - 2019
    16 - 5 - 2019
  • Kuala Lumpur
    23 - 6 - 2019
    27 - 6 - 2019
  • Istanbul
    2 - 6 - 2019
    6 - 6 - 2019
  • Muscat
    23 - 6 - 2019
    27 - 6 - 2019
  • London
    7 - 7 - 2019
    11 - 7 - 2019
  • Dubai
    28 - 7 - 2019
    1 - 8 - 2019
  • Paris
    7 - 7 - 2019
    11 - 7 - 2019
  • Kuala Lumpur
    18 - 8 - 2019
    22 - 8 - 2019
  • Istanbul
    11 - 8 - 2019
    15 - 8 - 2019
  • Muscat
    18 - 8 - 2019
    22 - 8 - 2019
  • London
    22 - 9 - 2019
    26 - 9 - 2019
  • Dubai
    1 - 9 - 2019
    5 - 9 - 2019
  • Paris
    22 - 9 - 2019
    26 - 9 - 2019

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 

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