10/27/2015ENGM 720: Statistical Process Control1 ENGM 720 - Lecture 01 Introduction to Statistical Process Control.

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ENGM 720 - Lecture 01

Introduction to Statistical Process Control

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Agenda

Introductions Course Overview Materials Expectations Questions & Issues Data Collection Red Bead Experiment

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ENGM 720 Lecturer:

• D. H. Jensen• 308 Industrial Engineering & Research Building (IER)

• (605) 394-1278

• [email protected]

• Office Hours:• M: 1:00 - 1:50 PM

• W: 1:00 - 1:50 PM and 4:30 – 5:20 PM

• Class Meetings:• Wednesdays: 6:00 PM – 9:00 PM, IER 205

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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

• Air Force & Naval Fleet Maintenance Facilities

• Die Cast Foundry

• Farm Toys

• Semiconductor Fab

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Course Overview

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

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

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

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

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)

Engineering Notebook• 9-3/4" x 7-1/2", 5x5 quad-ruled, 80-100 pp.

(approx.).

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Recommended Materials Engineering/Scientific calculator

Engineering Problems Paper• 8-1/2" x 11", three hole drilled, ruled five

squares/division, 50 pp. (approx.).

Mechanical Pencil• 0.5 mm, HB or B lead with comfortable grip

Plastic-based Eraser • clickable pen-style suggested

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Expectations

Grading Scale:A 90% B 80% C 70% D 60%

F < 60%

Weighting: Midterm Exam I 30%

Midterm Exam II 35%

Final Exam 35%

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Expectations

Assignments:• Assignments will NOT be turned in

• Solutions will be posted on-line (sometime later)

Exams:• 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 Make-up Work (Exams):

• 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 for this class:• as long as what appears on your sheet is your work,

your words, and your writing

• 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

• 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 / YearE-mail addressOn-Campus/Distance 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

Personnel Needed:• Accountant

• Inspectors

• Operators

• Board of Directors

• Consultant

• Plant Manager (Dr. Jensen)