Learn Advanced Quality Statistics System

developed to adopted by many organizations of industries, including aerospace, automotive, healthcare, and electronics

What you'll learn

Enhanced Expertise: Gaining proficiency in AQS equips you with valuable skills in statistical analysis, quality control, and process improvement.

Problem-Solving Proficiency: AQS training develops your ability to identify, analyze, and resolve quality-related issues.

Data Literacy: AQS emphasizes data-driven decision-making, fostering your ability to collect, analyze, and interpret data effectively.

Continuous Improvement Mindset: AQS instills a mindset of continuous improvement, encouraging you to seek out inefficiencies and strive for better processes.

Quality Enhancement: AQS implementation leads to improved product and service quality, reducing defects and enhancing customer satisfaction

Cost Reduction: By identifying and eliminating root causes of variation, AQS can lead to cost savings through reduced waste and improved efficiency.

Cycle Time Reduction: AQS can streamline processes, reducing cycle times and improving responsiveness to customer needs.

Safety Improvement: AQS can identify and address safety hazards, leading to a safer work environment and reduced accidents.

Competitive Advantage: A commitment to quality and continuous improvement through AQS can give organizations a competitive edge in the market

Requirements

No experience needed

Description

The AQS Advanced Quality Statistics System workshop is designed for individuals who want to learn how to use AQS to improve quality, cost, cycle time, safety, and customer satisfaction in their organizations Advanced Quality Systems (AQS) is a systematic approach to achieving improvements in products and processes across all our design, production and inspection functions. By implementing AQS, we achieve measurable improvements in terms of reducing waste and cost and improving cycle time, quality and customer satisfaction. AQS ensures that all design and production decisions are based on quantifiable data, which ensures that design quality is built into every step of the production throughout the engineering process.Advanced Quality Statistics (AQS) is a data-driven, structured approach to continuous improvement that helps organizations achieve measurable and sustainable improvements in quality, cost, cycle time, safety, and customer satisfaction. It is a systematic approach that uses statistical methods to identify and eliminate the root causes of variation in key processes.In summary, learning and implementing the AQS system can bring significant benefits to both individuals and organizations, enhancing quality, reducing costs, and promoting a culture of continuous improvement.Advanced Quality System (AQS)   designed that focuses on reducing variation on (customer) key characteristics in value added operations. The AQS solves complex relationships between multiple interacting variables and uses statistically based methods to resolve “common cause” variation. The AQS relies on data recorded over longer periods of time vs. the short time documentation

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 History and Introduction for AQS Advanced Quality Statistics System

Lecture 3 Introduction to SIX SGMA

Lecture 4 CTQ critical to quality

Lecture 5 Defect Per Million Opportunity

Lecture 6 Cost of Poor Quality

Section 2: Define The Problem

Lecture 7 Problem Analysis

Lecture 8 Problem Solving

Lecture 9 Pan Do Check Act

Lecture 10 Brainstorming

Lecture 11 Kano Model

Lecture 12 QFD Quality Function Deployment

Lecture 13 Ishikawa Diagram

Lecture 14 Affinity Diagrams

Lecture 15 Interrelationship Diagram

Lecture 16 Pareto Diagram

Section 3: Measure the Problem

Lecture 17 Problem Risk Management

Lecture 18 Prioritization Tools

Lecture 19 Gather Data

Lecture 20 Flowcharts

Lecture 21 Run Chart

Lecture 22 Box Plots

Lecture 23 Histograms

Section 4: Analyzing and Improvement the Problem

Lecture 24 Scatter Diagram

Lecture 25 Forecasting Part1

Lecture 26 Forecasting Part2

Lecture 27 Control Charts Part1

Lecture 28 Control Charts Part2

Section 5: Control and Testing The Problem

Lecture 29 Process Capability Analysis

Lecture 30 Hypothesis Test

Lecture 31 Design of experiments (DOE)

Lecture 32 One Way ANOVA

Lecture 33 Z vs T Test

Quality professionals: Quality engineers, quality control managers, and other quality professionals who are responsible for implementing and maintaining quality management systems.,Process improvement practitioners: Process improvement specialists, lean Six Sigma experts, and other individuals who are responsible for identifying and eliminating process inefficiencies.,Managers and supervisors: Managers and supervisors who want to learn how to use AQS to improve the quality of their products and services.,Engineers and designers: Engineers and designers who want to learn how to use AQS to design and develop high-quality products and processes.