Industrial and Manufacturing Systems Engineering Department

Industrial and Manufacturing Systems Engineering Department Six Sigma Green Belt Student Requirements and Descriptions UT Arlington IMSE department in conjunction with the National Chapter of the Institute of Industrial Engineering (IIE) Lean Six Sigma Group is offering a 3-day workshop and certification exam for students who are interested in Six Sigma.

The following requirements for students interested in the program: 1. Graduating Senior Industrial Engineers can register 1.1 Graduation status must be confirmed by IMSE Department 2. Graduate Students have to: 2.1 Taken IE 5317 or its equivalent and passed it with a B 2.2 Taken or registered for IE 5318 or its equivalent 3. Other IE Undergraduate students 3.1 Taken IE 3301, 3314, and 3315 or its equivalent and passed with a B 3.2 Taken or registered for IE 4303, 4308 or its equivalent 4. Other non-IE Students 4.1 Must show equivalent classes in curriculum with similar knowledge area 4.2 Faculty member must verify course content from other college or department 4.3 Must receive IMSE Department permission to take seminar

UG/G C Course Course Knowledge Required/ Grade o Title Description Area Registered Required u r s e

N o . UG 3 Engineering (3-0) Topics in  Reliability, Required B 3 Probability engineering that  Inventory systems, 0 involve random 1 processes.  Queuing  Absolute and conditional probabilities,  Discrete and continuous random variables,  Parameter estimation,  Hypothesis testing,  Linear regression,  Experimental design,  Analysis of variance. UG 3 Engineering (3-0) A  Simple and multiple Required B 3 Research continuation of IE linear regression 1 Methods 3301. analysis, 4  Design of experiments,  Analysis of variance,

1 Industrial and Manufacturing Systems Engineering Department Six Sigma Green Belt Student Requirements and Descriptions

 Quality control statistics. UG 3 Operations (3-0)  Linear Required B 1 Research Introduction to the programming, 5 major  Integer deterministic programming, techniques of operations  Network analysis, research and their  Dynamic applications to programming, decision  Nonlinear problems. programming. UG 4 Production and (3-0)  Uncertainty of Registered B 3 Inventory Fundamental demand, or 4308 0 Control theory and design  Supply availability, 3 of systems for the control of  Production rates. production, inventories and their economic interaction UG 4 Quality (3-0) A  Design of statistical Registered B 3 Systems – comprehensive process control or 4303 0 Statistical coverage of systems 8 Quality modern quality Control systems  Acceptance sampling techniques

 Process analysis and design

G 5 Introduction to Topics include  Descriptive statistics, Required B 3 Statistics and descriptive 1 Operations statistics and 7 Research linear  Set theory, programming  Combinatorics

 Mathematical expectation

 Probability distributions

 Confidence interval estimation,

 Linear programming,

 Simplex and dual

2 Industrial and Manufacturing Systems Engineering Department Six Sigma Green Belt Student Requirements and Descriptions simplex algorithms,

 Transportation and assignment problems,

 Integer programming, and network analysis.

G 5 Applied An in-depth study  Estimation, Registered 3 Regression of one predictor 1 Analysis variable followed 8 by the matrix  Prediction, approach to multiple linear  Analysis of variance, regression.  Residual analysis,

 Transformations,

 Multicollinearity,

 Model selection,

 Weighted least squares,

 Ridge regression,

 Robust regression.