Introduction To Quality Engineering (ASQ)
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Introduction To Quality Engineering (ASQ) Course
Introduction:
Quality engineering plays a crucial role in ensuring that goods and services are designed, developed, and produced to meet or surpass consumers' expectations and requirements. It encompasses a wide range of activities, including the analysis of product designs, development processes, and manufacturing practices. Quality engineers are responsible for ensuring that manufacturers produce goods in accordance with the specified standards and specifications.
In this comprehensive course, participants will delve into the fundamental concepts and tools of quality engineering. They will gain a deep understanding of various aspects, including quality systems, auditing, product and process control and design, quality methods and tools, applied statistics, Statistical Process Control (SPC), and Design of Experiments (DOE).
Throughout the course, participants will learn how to implement effective quality systems within their organizations, conduct thorough audits to assess compliance, and establish robust product and process controls. They will also explore a range of quality methods and tools that can be employed to identify and resolve quality issues, improve processes, and enhance overall product quality.
An integral part of quality engineering is the application of statistical techniques. Participants will learn how to utilize applied statistics, SPC, and DOE to analyze and interpret data, identify patterns, and make data-driven decisions. These tools are essential for identifying root causes of quality problems, optimizing processes, and achieving continuous improvement.
Join us in this course to acquire the knowledge and skills necessary for effective quality engineering. By mastering the concepts and tools covered, participants will be equipped to drive quality excellence within their organizations, meet consumer expectations, and ensure the delivery of high-quality goods and services. Together, we will explore the realm of quality engineering and pave the way for enhanced customer satisfaction and organizational success.
Course Objectives:
By the end of the Introduction To Quality Engineering ( ASQ ) Course you will be able to:
- Understand basic quality management principles.
- Understand the relationship of the quality engineer to the quality system.
- Analyze the relationship of statistics to a process.
- Understand process capability and use 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.
Who Should Attend?
Introduction To Quality Engineering ( ASQ ) Course is ideal for:
- Engineers, quality control personnel, inspectors, testing personnel, or those interested in the quality engineering profession.
Course Outlines:
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.