Program Overview

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Overview of the Robert H. Buckman College of Engineering Online Education Program

The Robert H. Buckman College of Engineering Online Education Program offers a range of online degrees and certificates, including doctoral programs, master's programs, graduate certifications, and professional credentials.

Doctoral Programs

• Doctor of Engineering

Master Programs

• Aeronautics & Astronautics
• Autonomy
• Biomedical Engineering
• Civil Engineering
• Dual Degree MSE+MBA
• Electrical & Computer Engineering
• Engineering Education
• Industrial Engineering
• Interdisciplinary Engineering
• Internet of Things
• Mechanical Engineering
• Microelectronics and Semiconductors
• Nuclear Engineering
• Robotics
• Software Engineering
• Systems Engineering

Graduate Certifications

• Applied Heat Transfer
• Digital Signal Processing
• Hypersonics
• International Development
• Microelectronics and Semiconductors
• Noise Control
• Regulatory Affairs and Regulatory Science for Medical Devices
• Systems
• Teaching and Learning in Engineering

Professional Certifications

• Lean Six Sigma Green Belt
• Lean Principles
• Lean Six Sigma Black Belt
• Lean Six Sigma Green Belt Refresher
• Agile Project Management
• Project Management Essentials
• PMP Exam Preparation

Professional Courses

• Semiconductor Fabrication 101
• Additive Manufacturing
• Design for Security
• Data Science
• Building Water Essentials
• Model-Based Systems Engineering
• Product Safety: An Introduction for Effective Engineering Design
• Small Modular and Advanced Reactor (SMR/AR) Technology
• Systems Engineering Processes and Professional Competencies

Course Details: Quality Control

Description

The course will comprise a balanced blend of the statistical quality control concepts and hands-on training in the methods, standards, and guidelines currently being used for industrial quality control. The course will not assume any prior knowledge other than previous exposure to elementary probability theory; the discussion will be self-contained and all of the topics will be developed from the fundamentals. The course will enable a practicing engineer to gain a firm grasp of statistical quality control methods and enable him/her to not only analyze and improve existing quality control processes but also design and implement new quality control processes in industrial settings.

Learning Objective

To help students understand the concepts underlying statistical quality control and to develop their ability to apply those concepts to the design and management of quality control processes in industries.

Topics Covered

• History of quality control
• Modern quality control philosophy
• Design-Measure-Analyze-Improve-Control paradigm
• Methods for describing variation including histograms, stem-and-leaf plots, box plots, discrete and continuous random variables, probability plots
• Statistical inference methods
• Design of control charts for variable and attribute data including X-bar, R, S, CUSUM, MA, and EWMA charts
• Sensitizing rules including Western Electric guidelines
• Average run length
• Process characterization and capability analysis
• Gauge R&R studies
• Design of experiments with emphasis on factorial design
• Sampling inspection
• Attribute and variable acceptance plans
• Six-sigma and TQM

Prerequisites

IE230 and 330 or equivalence courses. Elementary probability theory.

Applied / Theory

60 / 40

Homework

Students will be required to complete seven homework assignments. The worst score among the seven assignments will be disregarded. The aggregate of the six best scores in homework assignments will contribute 40% to the course grade.

Projects

Students will be given the option to complete a final project instead of taking the final exam. Students will be allowed to choose a project of their choice and determine its scope in consultation with the instructor.

Exams

There will be a midterm exam that will contribute 30% to the course grade. The final exam/project will contribute 30% to the course grade.

Textbooks

Montgomery D.C. (2013). Introduction to Statistical Quality Control (7th ed.). John Wiley & Sons, Inc.

Computer Requirements

ProEd minimum computer requirements

Other Requirements

We will be using Minitab and Microsoft Excel. Minitab is part of the software suite at Purdue University that students can access remotely.

Instructor(s)

Nagabhushana Prabhu

Office: MGL 1318D