ISE 6120
Transcript Abbreviation:
QualImprovAnalytic
Course Description:
Learn skills and concepts associated with Quality Management, Lean Six Sigma, and related research with an awareness of recent research.
Course Levels:
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: Grad standing in Engr.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 4120.
Course Goals / Objectives:
Students should be able to answer the following questions:
How do I show that level 1 of factor ?A? results in a significantly better engineering design than level 2 (all other factors held constant)?
How do I show that level 1 of factor ?A? results in a significantly better engineering design than level 2 (all other factors held constant)?
I vary a medium number of factors at >2 levels. How do I show which factors are significant?
For the derived factors in question 2, how do I show which levels are significantly better than others.
For the derived factors in question 2, how do I show which levels are significantly better than others.
How do I, with a small number of tests, find the significant factors from the long list?
How do I create a defensible model of the response as a function of the few factors?
How do I create a defensible model of the response as a function of the few factors?
How do I synthesize customer issues, engineering, and competitor information for the big picture?
How do I competently communicate with a variety of graphical techniques?
How do I competently communicate with a variety of graphical techniques?
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Six Sigma - SOP | 1.5 | 0.0 | 0.0 | 0 |
| Define (in DMAIC process) – QFD, benchmarking | 3.0 | 0.0 | 0.0 | 0 |
| Measure (in DMAIC process) - Shewhart Xbar and R Charting, Capability Analysis, various charting methods | 7.5 | 0.0 | 0.0 | 0 |
| Analyze, Improve (in DMAIC process)–various statistical methods (including t-test, ANOVA, multiple regression, residual plots); various industrial engineering methods (e.g. value stream mapping, Spaghetti Diagram, fishbone diagram); JMP & Minitab | 24.0 | 0.0 | 0.0 | 0 |
| Control (in DMAIC process) - Single Sampling, Operating Characteristic Curves, Avg. Sample Number & Outgoing Quality, Double Sampling | 6.0 | 0.0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| class participation | 1% |
| homework (4) | 24% |
| quizzes (3) (best 2 out of 3 count) | 50% |
| projects | 25% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Introduction to Engineering Statistics and Lean Six Sigma. 3rd ed. Springer: London (free online). | Allen, T. T. |
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)