ENGM 720 - Lecture 01

# ENGM 720 - Lecture 01

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## ENGM 720 - Lecture 01

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1. ENGM 720 - Lecture 01 Introduction to Statistical Process Control ENGM 720: Statistical Process Control

2. Agenda • Introductions • Course Overview • Materials • Expectations • Questions & Issues • Data Collection • Red Bead Experiment ENGM 720: Statistical Process Control

3. ENGM 720 • Lecturer: • D. H. Jensen • 308 Industrial Engineering & Research Building (IER) • (605) 394-1278 • dean.jensen@sdsmt.edu • Office Hours: • Tu, Th: 9:30 AM – 10:50 AM • Class Meetings: • Wednesdays: 6:00 PM – 9:00 PM, IER 205 ENGM 720: Statistical Process Control

4. 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 ENGM 720: Statistical Process Control

5. 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 Background ENGM 720: Statistical Process Control

6. 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. ENGM 720: Statistical Process Control

7. 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. ENGM 720: Statistical Process Control

8. 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 ENGM 720: Statistical Process Control

9. 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. ENGM 720: Statistical Process Control

10. 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.). ENGM 720: Statistical Process Control

11. 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 ENGM 720: Statistical Process Control

12. 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% ENGM 720: Statistical Process Control

13. 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. ENGM 720: Statistical Process Control

14. 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). ENGM 720: Statistical Process Control