Quality in Manufacturing2019-04-19T12:36:14-05:00
Course Details

Quality in Manufacturing

This course introduces students to the quality concepts that build the foundation of quality management in the manufacturing industry. This course discusses the importance of quality in industry, both economically and environmentally, and the responsibilities of production technicians with respect to quality inspections and control.The first two modules provide an introduction to quality management systems, and quality control through data collection and analysis. The next three modules discuss the importance of quality inspections of the manufacturing systems and describe how to organize continuous improvement processes. The next few modules provide an introduction to quality philosophies and quality improvement methods such as Lean Manufacturing, Root Cause Analysis, and Six Sigma. The last two modules in the Quality in Manufacturing Course present information on blueprint reading, including geometric dimensioning and tolerances, and how blueprint reading is important to product quality assurance. Overall, this course provides an opportunity for students to learn about quality topics and how they are applied in the manufacturing industry, and provides them with the knowledge needed to obtain positions in the field of advanced manufacturing.

Recommended Prerequisites

Basic Reading Comprehension, Basic Computer Skills, Basic Internet Browsing Skills

What You’ll Learn

Course Module Listing

Overview

Pre-Course Survey

Course Introduction

Quality Management Systems

Introduction

What is Quality?

ISO: International Organization for Standardization

Quality Management System

Importance of Quality in Manufacturing

Additional Quality Philosophy and Management Strategies

Summary

Assessment

Quality Control

Introduction

Data Collection

Descriptive Analysis

Graphical Representation

Graphical Analysis

Summary

Assessment

Continuous Improvement

Introduction

Role of Production in Quality

Methods for Improving Quality

Pareto Chart: Construct and Analyze

Brainstorming

Communicating Quality Problems

Summary

Assessment

Quality Inspections

Introduction

Inspection Methods

Sampling Plan

Inspection Planning

Documenting and Communicating Inspection Results

Quality Audits

Summary

Assessment

Corrective Actions

Introduction

Corrective Actions and Preventive Actions

Types of Problems and Improvement Strategies

Plan-Do-Check-Act Cycle

When are Corrective and Preventive Actions Needed?

Corrective and Preventive Action Process

Selection and Implementation of Solution

Verification and Documentation of Process

Summary

Assessment

Lean Manufacturing Principles

Introduction

What is Lean?

Types of Waste

Identifying Waste

Lean Building Blocks

Spotlight: 5S

Benefits of Implementing Lean

Barriers for Implementing Lean

Summary

Assessment

Root Cause Analysis

Introduction

Root Cause Analysis Defined

Importance of Root Cause Analysis

Root Cause Analysis Tools

How to Facilitate Root Cause Analysis

Summary

Assessment

Introduction to Six Sigma

Introduction

What is Six Sigma?

The Six Sigma Project Team

Six Sigma on the Production Floor

The Six Sigma DMAIC Model

Six Sigma DMAIC Model: Measure Phase

Six Sigma DMAIC Model: Analyze Phase

Six Sigma DMAIC Model: Improve Phase

Six Sigma DMAIC Model: Control Phase

Six Sigma Tools for the Production Technician

Identifying a Six Sigma Project

Summary

Assessment

GD&T

Introduction

Geometric Dimensioning and Tolerances

Basic Concepts of GD&T

GD&T Terms, Symbols and Rules

Summary

Assessment

Blueprint Reading

Introduction

Blueprint Reading Basics

Symbols Used in Blueprints

Three View Drawings

Title Block Elements

Surface Texture for Materials

Blueprints in the Production Floor

Summary

Assessment

Popular Measuring Instruments

Introduction

Types of Measuring Tools

Scales and Rules

Vernier Scale

Vernier Calipers

Micrometers

Additional Tools

Summary

Assessment

Exam

Exam

This material is based upon work supported by the National Science Foundation under Grant No. DUE-1104181. Any opinions, findings, and conclusions or recommendations expressed in this material are hose of the author(s) and do not necessarily reflect the views of the National Science Foundation.