ENGM 720 Lecture 01 Introduction to Statistical Process


















- Slides: 18
ENGM 720 - Lecture 01 Introduction to Statistical Process Control 11/3/2020 ENGM 720: Statistical Process Control 1
Agenda l l l l Introductions Course Overview Materials Expectations Questions & Issues Data Collection Red Bead Experiment 11/3/2020 ENGM 720: Statistical Process Control 2
ENGM 720 l Lecturer: • D. H. Jensen • Office Hours: • Class Meetings: • 308 Industrial Engineering & Research Building (IER) • (605) 394 -1278 • dean. jensen@sdsmt. edu • M: 1: 00 - 1: 50 PM • W: 1: 00 - 1: 50 PM and 4: 30 – 5: 20 PM • Wednesdays: 11/3/2020 6: 00 PM – 9: 00 PM, IER 205 ENGM 720: Statistical Process Control 3
Background l Academic: • Industrial & Manufacturing Engineering • Ph. D. Industrial Engineering • M. A. Technology - Supervision & Management • B. S. Computer Engineering • Oregon State University • University of Iowa • University of Northern Iowa • Iowa State University 11/3/2020 ENGM 720: Statistical Process Control 4
Background l Industry Experience: • • • Land Surveying Crew Data Systems Manager • • Programmer Network Engineering Plant Engineering • • • Manufacturing Engineering Design Engineering Hazardous Waste Management 11/3/2020 • • Plant Administration • 7 plants, 3 towns Consulting • • • Commercial Avionics Medical Supplies Air Force & Naval Fleet Maintenance Facilities Die Cast Foundry Farm Toys Semiconductor Fab ENGM 720: Statistical Process Control 5
Course Overview l 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. 11/3/2020 ENGM 720: Statistical Process Control 6
Learning Objectives l 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. 11/3/2020 ENGM 720: Statistical Process Control 7
Learning Objectives l 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 11/3/2020 ENGM 720: Statistical Process Control 8
Course Overview l 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. 11/3/2020 ENGM 720: Statistical Process Control 9
Required Materials l Textbook: • Montgomery, D. C. (2013). Introduction to Statistical Quality Control (7 th ed). New York NY: John Wiley & Sons. ISBN 978 -1 -118 -14681 -1 (required) l Engineering Notebook • 9 -3/4" x 7 -1/2", 5 x 5 quad-ruled, 80 -100 pp. (approx. ). 11/3/2020 ENGM 720: Statistical Process Control 10
Recommended Materials l Engineering/Scientific calculator l Engineering Problems Paper l l • 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 11/3/2020 ENGM 720: Statistical Process Control 11
Expectations l Grading Scale: A l 90% B 80% C 70% F < 60% D 60% Weighting: Midterm Exam II Final Exam 11/3/2020 30% 35% ENGM 720: Statistical Process Control 12
Expectations l l 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. 11/3/2020 ENGM 720: Statistical Process Control 13
Expectations l 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). 11/3/2020 ENGM 720: Statistical Process Control 14
Expectations l 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 11/3/2020 ENGM 720: Statistical Process Control 15
Questions & Issues l Students with special needs or requiring special accommodations should contact the instructor, Dr. Jensen, at 394 -1278 and/or the campus ADA coordinator, Jolie Mc. Coy, at 394 -1924 at the earliest opportunity. 11/3/2020 ENGM 720: Statistical Process Control 16
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 11/3/2020 ENGM 720: Statistical Process Control 17
Deming’s Red Bead Experiment l Personnel Needed: • Accountant • Inspectors • Operators • Board of Directors • Consultant • Plant Manager (Dr. Jensen) 11/3/2020 ENGM 720: Statistical Process Control 18