IENG 486- Lecture 01
Introduction to Statistical
Process Control
4/13/2015
IENG 486: Statistical Quality &
Process Control
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Agenda
 Introductions
 Learning Objectives
 Materials
 Expectations
 Questions & Issues
 Data Collection
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IENG 486
 Instructor:
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D. H. Jensen
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Office Hours:
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322 Civil Mechanical Bldg
(605) 394 – 1278
dean.jensen@sdsmt.edu
M, W, F:
8:30 – 9:30 AM
http://webpages.sdsmt.edu/~djensen/Schedule
Class Meetings:
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4/13/2015
Monday, Wednesday, Friday:
11:00 – 11:50 CB 204E
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Background
 Academic:
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Industrial & Manufacturing Engineering
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Ph.D.
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4/13/2015
Technology - Supervision & Management
University of Northern Iowa
B.S.
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Industrial Engineering
University of Iowa
M.A.
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Oregon State University
Computer Engineering
Iowa State University
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Background
 Industry Experience:
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Land Surveying Crew
Data Systems Manager
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Programmer
Network Engineering
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Plant Engineering
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Manufacturing
Engineering
Design Engineering
Hazardous Waste
Management
Plant Administration
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Consulting
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4/13/2015
7 plants, 3 towns
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:
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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:
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the ability to construct, implement and interpret Xbar 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:
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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:
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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:
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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:
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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:
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Mechanical pencil – 0.5 mm, HB or B lead
with comfortable grip
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Plastic-based eraser (clickable pen-style
suggested)
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Engineering/Scientific calculator.
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Expectations
 Grading Scale:
A
90%
B 80%
C 70%
F < 60%
D 60%
 Weighting:
Homework
Midterm Exam I
Midterm Exam II
Final Exam
Bonus Pts
4/13/2015
25%
25%
25%
25%
5%
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Expectations
 Assignments & Laboratories:
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Each question / lab component is graded on a 10
point basis. Each assignment is equally weighted.
 Exams:
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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
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Materials Page
Download & print out
 Textbook
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Photocopy for your reference, only
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Follow copyright / acceptable use guidelines
 Software
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Materials page
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4/13/2015
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:
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Assignments are due at the start of class on the due
date (see Schedule page).
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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:
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Make-Up work is the student’s responsibility, and is
arranged at the lecturer’s discretion. Policies:
4/13/2015
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Foreseeable Circumstances - contact the lecturer as
far in advance as possible (e-mail).
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Unforeseeable Circumstances - contact the lecturer as
soon as practical (leave phone message).
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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:
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OK to work together on HW
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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
Preferred name
SDSM&T E-mail address
What you did during summer
Course ID
Term / Year
Your major
Hometown
Anything else the instructor should know
about you
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Next Class
 Red Bead Experiment
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Meet by Archway
If weather is too bad, meet at classroom
 Bring sunglasses / caps if sunny
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No notes necessary
Class participation is required
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The experience is important
Will take most of the time – be on-time!
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