04/18/23IENG 486: Statistical Quality &
Process Control 1
IENG 486- Lecture 01
Introduction to Statistical Process Control
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Agenda
Introductions Learning Objectives Materials Expectations Questions & Issues Data Collection
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IENG 486
Instructor: D. H. Jensen
322 Civil Mechanical Bldg (605) 394 – 1278 [email protected]
Office Hours: M, W, F: 8:30 – 9:30 AM http://webpages.sdsmt.edu/~djensen/Schedule
Class Meetings: Monday, Wednesday, Friday: 11:00 – 11:50 CB 204E
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Background
Academic: Industrial & Manufacturing Engineering
Oregon State University Ph.D. Industrial Engineering
University of Iowa M.A. Technology - Supervision & Management
University of Northern Iowa B.S. Computer Engineering
Iowa State University
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Background
Industry Experience: Land Surveying Crew Data Systems Manager
Programmer Network Engineering
Plant Engineering Manufacturing
Engineering Design Engineering Hazardous Waste
Management
Plant Administration 7 plants, 3 towns
Consulting Commercial Avionics Medical Supplies Naval Fleet
Maintenance Facilities Die Cast Foundry Farm Toys Semiconductor Fab Aging Aircraft Repair
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Learning Objectives
Students will demonstrate: a knowledge of the philosophy of quality – terms,
dimensions, the linkage between quality and productivity, and strategies for implementing quality systems.
a knowledge of the fundamentals of statistical process control – chance and assignable causes, the meaning of statistical control, average run length (ARL), operating characteristic (OC) curve, the principles of rational subgroup formation, and runs tests.
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Learning Objectives
Students will demonstrate: the ability to construct, implement and interpret X-
bar and R control charts for variables from standards or data; and the ability to use the corresponding OC and ARL curves.
the ability to construct, implement and interpret p, c, and u control charts for attributes from standards or data; and the ability to use the corresponding OC and ARL curves.
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Learning Objectives
Students will demonstrate: the ability to construct, implement and interpret
EWMA control charts for individual measurements from standards or data; and the ability to use the corresponding OC and ARL curves.
the ability to calculate and apply process capability ratios: Cp, Cpk, Cpm; and to perform a gage capability study – calculating the components of variability due to product, measurement error and its’ components (repeatability and reproducibility of the gage).
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Learning Objectives
Students will demonstrate: a knowledge of acceptance sampling principles and
the ability to design, implement, and use acceptance sampling plans for attributes, variables; and military standards.
a knowledge of the principles of making physical measurements – equipment operation, calibration; to develop and document a measurement methodology; and the ability to operate calipers,and a micrometer.
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Materials
Textbook: Montgomery, D. C. (2005). Introduction to
Statistical Quality Control (6th ed).
New York NY: John Wiley & Sons.
ISBN 978-0-470-16992-6 (required)
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Materials
Required: Engineering Problems Paper – 8-1/2" x 11",
three hole drilled, ruled five squares/division, 50 pp. (approx.).
Engineering Notebook – 9-3/4" x 7-1/2", 5x5 quad-ruled, 80-100 pp. (approx.).
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Materials
Recommended: Mechanical pencil – 0.5 mm, HB or B lead
with comfortable grip
Plastic-based eraser (clickable pen-style suggested)
Engineering/Scientific calculator.
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Expectations
Grading Scale:A 90% B 80% C 70% D 60%
F < 60%
Weighting: Homework 25% Midterm Exam I 25% Midterm Exam II 25% Final Exam 25% Bonus Pts 5%
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Expectations
Assignments & Laboratories: Each question / lab component is graded on a 10
point basis. Each assignment is equally weighted.
Exams: Exams are open Engineering notebook; and closed
textbook and homework. Necessary tables are NOT ALWAYS provided.
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Reference Tables & Software
Online References Materials Page Download & print out
Textbook Photocopy for your reference, only
Follow copyright / acceptable use guidelines
Software Materials page
Copy & download to your machine Work ONLY with your copy Be able to do the calculations manually, too
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Expectations
Due Dates / Late Work: Assignments are due at the start of class on the
due date (see Schedule page).
Late assignments will receive 50% of the earned credit until 24 hours have passed, and will be graded and returned at instructor convenience. Work submitted more than 24 hours past the due date will not be accepted.
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Expectations
Make-up Work: Make-Up work is the student’s responsibility, and is
arranged at the lecturer’s discretion. Policies:
Foreseeable Circumstances - contact the lecturer as far in advance as possible (e-mail).
Unforeseeable Circumstances - contact the lecturer as soon as practical (leave phone message).
Note that it is NOT possible to arrange a make-up FINAL for anything other than University approved circumstances (medical, disability, multiple exams).
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Expectations
Academic Honesty: OK to work together on HW
as long as what appears on your sheet is your work, your words, and your writing
Exams are always individual work
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Questions & Issues
Students with special needs or requiring special accommodations should contact the instructor, Dr. Jensen, at 394-1278 and/or the campus ADA coordinator, Jolie McCoy, at 394-1924 at the earliest opportunity.
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Data Collection
Name Course IDPreferred name Term / YearSDSM&T E-mail address
Your majorWhat you did during summer Hometown
Anything else the instructor should know about you