Transcript Course Administration

ENGM 720 - Lecture 01
Introduction to Statistical
Process Control
7/21/2015
ENGM 720: Statistical Process Control
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Agenda
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Introductions
Course Overview
Materials
Expectations
Questions & Issues
Data Collection
Red Bead Experiment
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ENGM 720
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Lecturer:
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D. H. Jensen
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Office Hours:
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Class Meetings:
• 308 Industrial Engineering & Research Building (IER)
• (605) 394-1278
• [email protected]
• M: 1:00 - 1:50 PM
• W: 1:00 - 1:50 PM and 4:30 – 5:20 PM
• Wednesdays:
7/21/2015
6:00 PM – 9:00 PM, IER 205
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Background
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Academic:
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Industrial & Manufacturing Engineering
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Ph.D.
Industrial Engineering
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M.A.
Technology - Supervision & Management
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B.S.
Computer Engineering
• Oregon State University
• University of Iowa
• University of Northern Iowa
• Iowa State University
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Background
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Industry Experience:
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Land Surveying Crew
Data Systems Manager
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Programmer
Network Engineering
Plant Engineering
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Manufacturing
Engineering
Design Engineering
Hazardous Waste
Management
7/21/2015
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Plant Administration
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7 plants, 3 towns
Consulting
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Commercial Avionics
Medical Supplies
Air Force & Naval Fleet
Maintenance Facilities
Die Cast Foundry
Farm Toys
Semiconductor Fab
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Course Overview
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Students will demonstrate:
• the ability to prepare and interprete Pareto, Cause
& Effect, Scatter, Checksheet, Defect
Concentration, and Histogram charts and diagrams.
• 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
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Students will demonstrate:
• the ability to construct and interpret control charts
for variables and attributes from standards or
data.
• the ability to construct and interpret control charts
for individual measurements and short-run SPC
from standards or data.
• the ability to calculate and interpret process
capability ratios (Cp, Cpk, Cpm) and gage
repeatability and reproducibility.
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Learning Objectives
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Students will demonstrate:
• an introductory knowledge of acceptance
sampling principles and the ability to design,
implement, and use acceptance sampling plans
and military standards.
• an introductory knowledge of the principles,
calculations, and interpretation of designed
experiments
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Course Overview
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See Schedule Page for details:
• Basic problem solving tools and process
comparisons covered on Exam I.
• Control charting for continuous, discrete,
individuals, and short run SPC on Exam II.
• Acceptance sampling and an intro to
designed experiments on Final Exam.
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Required Materials
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Textbook:
• Montgomery, D. C.
(2013). Introduction to
Statistical Quality Control (7th ed).
New York NY: John Wiley & Sons.
ISBN 978-1-118-14681-1 (required)
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Engineering Notebook
• 9-3/4" x 7-1/2", 5x5 quad-ruled, 80-100 pp.
(approx.).
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Recommended Materials
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Engineering/Scientific calculator
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Engineering Problems Paper
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8-1/2" x 11", three hole drilled, ruled five
squares/division, 50 pp. (approx.).
Mechanical Pencil
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0.5 mm, HB or B lead with comfortable grip
Plastic-based Eraser
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clickable pen-style suggested
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Expectations
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Grading Scale:
A
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90%
B 80% C 70%
F < 60%
D 60%
Weighting:
Midterm Exam I
Midterm Exam II
Final Exam
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30%
35%
35%
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Expectations
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Assignments:
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Assignments will NOT be turned in
Solutions will be posted on-line (sometime later)
Exams:
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Exams are open Engineering notebook; and closed
textbook and homework.
Most necessary tables and diagrams are provided –
these should be placed in your Engineering Notebook.
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Expectations
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Make-up Work (Exams):
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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
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Academic Honesty:
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OK to work together on HW for this class:
• as long as what appears on your sheet is your work,
your words, and your writing
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OK to copy my materials for this class:
• download and print slides to your engineering notebook
for this class
• download and use my spreadsheet templates for your
assignments and practice in this course
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Exams are always individual work
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Questions & Issues
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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
E-mail address
On-Campus/Distance
Course ID
Term / Year
Your major
Hometown
Contact Info for Proctor (Distance, only)
Anything else the instructor should know
about you
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Deming’s Red Bead Experiment
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Personnel Needed:
• Accountant
• Inspectors
• Operators
• Board of Directors
• Consultant
• Plant Manager (Dr. Jensen)
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