IENG 451 - Lecture 01

1. IENG 451 - Lecture 01 Introduction to Operational Strategies ENGM 720: Statistical Process Control

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

3. IENG 451 • Lecturer: • Dr. Dean Jensen • 138 Industrial Engineering / Library • (605) 394-1278 • dean.jensen@sdsmt.edu • Office Hours: • M, Tu, W, Th: 11:00 AM – 11:50 AM • Class Meetings: • M, W: 1:00 PM – 1:50 PM, CB 110 • Th: 1:00 PM – 2:50 PM, CB 110 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 • This is an ELECTIVE course: • This course covers topics commonly referred to as Lean Six Sigma. • This course meets the Six Sigma Philosophy requirement for the Six Sigma Green Belt Certificate. ENGM 720: Statistical Process Control

7. Learning Objectives • Students will demonstrate: • The ability to identify and explain the philosophies of operational excellence, such as lean manufacturing and six sigma. • The ability to create a series of value stream maps. ENGM 720: Statistical Process Control

8. Learning Objectives • Students will demonstrate: • The ability to apply the operational strategies of operational excellence, such as lean manufacturing and six sigma, in a variety of industry situations. • The ability to utilize appropriate lean and six sigma metrics to improve a system or process in a DMAIC cycle. ENGM 720: Statistical Process Control

9. Course Overview • Topics to be covered: • Six sigma philosophy and DMAIC problem solving methodology. • Variation and its impact on operations • Metrics for operational excellence • Lean manufacturing / thinking philosophy ENGM 720: Statistical Process Control

10. Course Overview • Topics to be covered: • Value stream mapping. • Standard Work • Identifying and eliminating waste • Continuous improvement • Implementation of change ENGM 720: Statistical Process Control

11. Recommended Materials • Textbooks: • Dennis, P. (2015). Lean Production Simplified (3rd ed.). Boca Raton FL: CRC Press. 170pp. ISBN-10: 1498708870, ISBN-13: 978-1498708876) • George, M. L., Rowlands, D., Price, M., Maxey, J.. (2005). Lean Six Sigma Pocket Toolbook.New York NY: McGraw-Hill. 282pp. ISBN-10: 0-07-144119-0, ISBN-13: 978-0-07-144119-3. ENGM 720: Statistical Process Control

12. Required Materials • Engineering Notebook • 9-3/4" x 7-1/2", 5x5 quad-ruled, 80-100 pp. (approx.). • 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

13. Expectations • Grading Scale: A 90% B 80% C 70% D 60% F < 60% • Weighting: Assignments 25% Midterm Exam 25% Final Exam 25% Project Work 25% Bonus Points 5% ENGM 720: Statistical Process Control

14. Expectations • Assignments: • Assignments will be electronically turned in at Lab Time • Solutions will be posted on-line (sometime later) • Exams: • Exams are open Engineering notebook; and closed textbook and homework. • Most necessary tables and diagrams will be provided – these should be placed in your Engineering Notebook. ENGM 720: Statistical Process Control

15. Expectations • Make-up Work (Assignments): • 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). • If an assignment is less than 24 hours late, it will be held until the end of the term. If the student’s grade is borderline (within 1.5% of the next highest grade without considering the late assignment, then the held assignment will be graded and assessed 50% of the earned credit. There is no credit for unapproved late assignments after 24 hours have passed. ENGM 720: Statistical Process Control

16. 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 ENGM 720: Statistical Process Control

17. 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, Megan Reder-Schopp, at 394-6988 at the earliest opportunity. ENGM 720: Statistical Process Control

18. Data Collection Name Course ID Preferred name Term / Year E-mail address On-Campus/Distance Your major Hometown Anything else the instructor should know about you ENGM 720: Statistical Process Control