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IE53000 - Quality Control

Fall 2015

Days/Time: TBA / TBA
Credit Hours: 3

Learning Objective:
To help the student understand the concepts involved in the application of statistical methods to industrial problems. Major topics include using control charts to monitor on-going processes, R&R capability studies; design of experiments, acceptance sampling, , and continuous improvement. The emphasis will be on application and to provide the student with the rationale behind the use of various techniques.

Description:
This course will cover gage R&R studies, various control charts, including X-bar, R and S charts, CUSUM charts, attribute charts, moving average charts and exponentially weighted moving average charts. Average run lengths, design of control charts, Taguchi's contributions to quality engineering, and acceptance sampling plans will be discussed. Students will also learn how to carry out a process capability study and use design of experiments techniques for process improvement.

Topics Covered:
The nature of quality and the role of statistics, modern quality philosophy; simple quality assurance tools, measurement, Gage R&R studies, histograms, Pareto diagrams, Fishbone diagrams; Process Monitoring Part I-basics, Shewhart charts for variable and attribute data, Average run length; process monitoring part II-- additional Methods, EWMA and CUSUM charts, multivariate charts, individual and moving range charts; process characterization and capability analysis, stem-and-leaf diagrams, box plots, normal probability plots, process capability studies; design of experiments with an emphasis on factorial designs; sampling inspection, attribute and variable acceptance plans; Six-sigma and TQM environment.

Prerequisites:
IE230 and 330 or equavalence. Elementary probability theory; discrete and continuous random variables and probability distributions (Bernoulli, binomial, geometric, Poisson, normal, chi-square); expectation, parameter estimation; and statistical inference.

Applied/Theory: 60/40

Web Address:
http://www.itap.purdue.edu/learning/tools/blackboard/

Web Content:
syllabus, lecture notes, grades.

Homework:
Weekly assignments will be graded.

Projects:
None.

Exams:
Two 50 minutes exams and one two-hour comprehensive final exam.

Textbooks:
*Tentative-check the Office of the Registrar Textbooks for the official list*
Required: Introduction to Statistical Quality Control, 7th edition, by Douglas C. Montgomery (ISBN: ISBN-10: 1118146816/ISBN-13: 978-1118146811)

Computer Requirements:
ProEd minimum computer requirements

ProEd Minimum Requirements: view

Tuition & Fees: view

T. B. D.
Phone
None
Email
proed@purdue.edu
Office
Campus
Building
Address
West Lafayette, IN 47907