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Viewing: EGR 503 : Statistical Engineering using Six Sigma DMAIC Process

Last approved: Sat, 02 Apr 2016 08:20:29 GMT

Last edit: Sat, 02 Apr 2016 08:20:29 GMT

Catalog Pages referencing this course
Change Type
EGR (EGR-Engineering Master's)
503
032302
Dual-Level Course
No
Cross-listed Course
No
Statistical Engineering using Six Sigma DMAIC Process
STAT ENGR using Six Sigma
College of Engineering
College of Engineering (14EH)
Term Offering
Fall and Spring
Offered Every Year
Fall 2016
Previously taught as Special Topics?
Yes
7
 
Course Prefix/NumberSemester/Term OfferedEnrollment
EGR 590 608SPG 201514
EGR 590 603SPG 201519
EGR 590 603Fall 201422
EGR 590 603SPG 201424
EGR 590 001SPG 201425
EGR 590 603SPG 201325
EGR 590 001SPG 201326
Course Delivery
Online (Internet)

Grading Method
Graded/Audit
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
Dr. Timothy G. Clapp
Adjunct Professor, Textile Engineering
Full

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Delivery FormatPer SemesterPer SectionMultiple Sections?Comments
LEC3520YesNo comment
ST 361 or ST 370 or Entry Level Statistics
Is the course required or an elective for a Curriculum?
No
Statistical Engineering: systematic approach (Six Sigma DMAIC methodology) for improving manufacturing and business processes and products using advanced graphical and statistical methods. Defining the improvement opportunity, measurement system analysis (MSA), Failure Mode and Effects Analysis (FMEA), data collection, graphical and statistical analysis, design of experiment (DOE) methods, and statistical process control (SPC) methods. Application of statistical engineering to business and manufacturing case studies.

EGR 503, Statistical Engineering using Six Sigma DMAIC Process, is uniquely designed to prepare the engineer with knowledge to analyze and improve manufacturing and business processes and products using modern, statistical-based problem solving tools.  The Six Sigma DMAIC methodology has been adopted by leading U.S. and international organizations as a recognized and proven approach for identifying and solving process improvement challenges.  


The need for the course has been demonstrated by enrollment of on-campus graduate students and Engineering-On-Line graduate and professional students.


No

Is this a GEP Course?
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

College(s)Contact NameStatement Summary
Poole College of ManagementDr. Steve AllenMohamed:

I have conferred with the deans and department heads here in PCOM. Although there is close overlap between some of the courses you propose and some of the courses we offer, we are prepared to sign off on the four course action consultations as long as we have an explicit understanding on one important matter. That matter concerns any possible launch of a Master of Engineering Management program with premium tuition.

We insist on having the option to be a full partner in such a degree. With the growth of our own online offerings, we have much more capacity than we did 3-4 years ago when these matters last came up.

As long as we have such an understanding, I will go into the system and endorse all four proposals.

Best regards,

Steve

Steven Allen
Associate Dean for Graduate Programs and Research
Poole College of Management
NC State University
Raleigh NC 27695-7229
(919) 515-6941 office
College of TextilesDr. Jeff Joines
College of SciencesJo-Ann Cohen the course is not a statistical methods course, but a case studies course, so I do not have objection to its offering as proposed.

Montse
Dr. Clapp has been offering this course as special topics therefore no new resources are needed.

Student Learning Outcomes


Students will be able to:



  • explain and apply Statistical Engineering: a discipline that utilizes multiple graphical and statistical tools using state-of-the-art statistical software to drive greater impact for improving business and manufacturing processes,

  • outline and apply Six Sigma DMAIC methodology to solve challenging engineering management problems,

  • apply, evaluate, and interpret statistical methods including graphical analysis, measurement systems analysis, process capability studies, hypothesis testing, and Statistical Process Control (SPC),

  • design experiments to optimize processes

  • apply the Six Sigma Black Belt Body of Knowledge (BOK) required for the American Society for Quality (ASQ) Six Sigma Green/Black Belt certification exam.

  •  


Evaluation MethodWeighting/Points for EachDetails
Multiple exams30Two Exams
Project20Independent project selected by student
Homework10Assignments to reinforce lectures
Final Exam40Comprehensive exam
TopicTime Devoted to Each TopicActivity
Intro to Statistical Engineering Management5 hoursLecture, reading assignments, homework
Statistical Sampling and data modeling7.5 hoursLecture, reading, data collection, graphical analysis, introduction to JMP software, data modeling, homework, quiz
Statistical Hypothesis Testiing10 hoursLecture, reading, data collection, graphical analysis, application of JMP software, data modeling and statistical analysis, homework, quiz
Design of Experiments5 hoursLecture, reading, design experiments, data collection, graphical analysis, application of JMP software, data modeling and statistical analysis, homework
Continuous Improvement Tools5 hoursLecture, reading assignments, homework
Statistical Process Control2.5 hoursLecture, reading assignments, homework, use of JMP Software to set up and interpret Statistical Process Control charts.
Design For Six Sigma2.5 hoursLecture, reading assignments, homework
mlnosbis 1/27/2016: Consultation with statistics is noted above. No further consultation needed.

ghodge 2/1/2016 No response from College of Textiles is shown. This course would seem to have some overlap with Textile Engineering 6 sigma. Should this be cross listed with TE? Send to ABGS reviewers, but confirm no comment from textiles

ABGS Reviewer Comments:
-As long as Management is happy that their condition is met and Textiles has no comment, this seems fine.

ghodge 2/6/2016 Send to ABGS
Key: 7539