QUALITY ENGINEERING PROGRAM


 Brian Stevenson
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1 QUALITY ENGINEERING PROGRAM Production engineering deals with the practical engineering problems that occur in manufacturing planning, manufacturing processes and in the integration of the facilities and systems for producing quality products with optimum expenditure. In general, production engineers are responsible for the development, design, analysis, planning, supervision and construction of consumer goods. Preparation for careers in production engineering requires good understanding of engineering fundamentals, material processing science and equipment, management and economics principles in order to develop proficiency in conceiving design and operating production processes. The department of production engineering offers Bachelor and Master's degree programs. The Bachelor program has been tailored to provide students with prominent knowledge on manufacturing processes and techniques as well as engineering management. The Master's degree program emphasis on manufacturing management and technology. The intention of program is to generate keen and skillful graduate engineers to be future leaders of manufacturing industry. Along with the theoretical and practical dexterity, the graduate engineers will also have enough management skill to lead and perform decision making to assist the organization, in order to enhance competitiveness. Currently, four Master's programs are being offered by the department: Leader for Manufacturing Competitiveness (LMC) Leader in Process Metallurgy Welding Engineering Quality Engineering
2 Master of Engineering Program in Quality Engineering CURRICULUM Total program credit Curriculum Component 40 credits Plan A Thesis A. Foundation Courses 9 credits B. Statistical Techniques Courses 6 credits C. Quality Management System Courses 6 credits D. Elective Courses 6 credits E. Seminar 1 credits F. Thesis 12 credits Plan B Comprehensive Examination A. Foundation Courses 9 credits B. Statistical Techniques Courses 6 credits C. Quality Management System Courses 12 credits D. Elective Courses 6 credits E. Seminar 1 credits F. Industrial Research Project 6 credits Plan A Plan B 1. Foundation Courses 9 credits 9 credits PRE 675 Total Quality Management 3(309) PRE 671 Advanced Engineering Statistics 3(309) QUE 502 Introduction to Quality Engineering 3(309) 2. Statistical Techniques Courses 6 credits 6 credits PRE 678 Design and Analysis of Experiment 3(309) QUE 501 Matrices and Vector for Quality Engineering 3(309) QUE 511 Applied Regression Analysis 3(309) QUE 512 Introduction to Time Series 3(309) QUE 513 Applied Multivariate Analysis 3(309) QUE 612 Reliability Engineering 3(309) QUE 619 Special Topics in Statistical Techniques 3(309) 3. Quality Management System Courses 6 credits 12 credits PRE 679 Advanced Quality Assurance 3(309) QUE 521 Statistical and Engineering Process Control 3(309) QUE 522 Continuous Process Improvement 3(309) QUE 621 Advanced Method for Quality Improvement 3(309) QUE 622 Quality Planning for New Products and Services 3(309) QUE 623 Strategic Quality Management 3(309) QUE 624 Quality Product and Process Design 3(309) QUE 629 Special Topics in Quality Management Systems 3(309) 410 The Graduate Bulletin
3 4. Elective Courses 6 credits 6 credits 4.1 Engineering Systems PRE 664 Design and Analysis of Manufacturing Systems 3(309) PRE 674 Systems Optimization and Analysis for Manufacturing 3(309) QUE 531 Facility Planning 3(309) QUE 532 Introduction to Stochastic Processes 3(309) QUE 631 Queuing Theory and Stochastic Modeling 3(309) QUE 632 Simulation Modeling and Analysis 3(309) QUE 633 Supply Chain Management 3(309) QUE 639 Special Topics in Engineering Systems 3(309) 4.2 Decision Sciences Courses QUE 649 Special Topics in Decision Making 3(309) QUE 641 Analysis of Investments 3(309) QUE 642 Introduction to Decision Science 3(309) QUE 643 Systems Evaluation 3(309) 4.3 Others XXX xxx Free electives 3(309) 5. Seminar 1 credits 1 credits QUE 691 Seminar 1(103) 6. Thesis / Industrial Research Project 12 credits 6 credits QUE 692 Thesis 12( ) QUE 693 Industrial Research Project * 6( ) * Student study Plan B who pass Comprehensive Examination 70 percentage. The Graduate Bulletin
4 STUDY PLAN Plan A Thesis First Year First Semester PRE 675 Total Quality Management 3 (309) PRE 671 Advanced Engineering Statistics 3 (309) XXX XXX Quality Management System Elective 3 (309) XXX XXX Elective 3 (309) Total 12 ( ) Second Semester QUE 502 Introduction to Quality Engineering 3 (309) XXX XXX Statistical Techniques and Mathematics Elective 3 (309) QUE 691 Seminar 1(103) QUE 692 Thesis 3 (0612) Total 10 (7633) Second Year First Semester XXX XXX Statistical Techniques and Mathematics Elective 3 (309) XXX XXX Quality Control and Management Systems Elective 3 (309) QUE 692 Thesis 3 (0612) Total 9 (6630) Second Semester XXX XXX Elective 3 (309) QUE 692 Thesis 6 ( ) Total 9 ( ) 412 The Graduate Bulletin
5 Plan B Comprehensive Examination First Year First Semester PRE 675 Total Quality management 3 (309) PRE 671 Advanced Engineering Statistics 3 (309) XXX XXX Quality Management System Elective 3 (309) XXX XXX Elective 3 (309) Total 12 ( ) Second Semester QUE 502 Introduction to Quality Engineering 3 (309) XXX XXX Statistical Techniques and Mathematics Elective 3 (309) XXX XXX Quality Management System Elective 3 (309) QUE 691 Seminar 1(103) Total 10 ( ) Second Year First Semester XXX XXX Statistical Techniques and Mathematics Elective 3 (309) XXX XXX Quality Management System Elective 3 (309) QUE 693 Industrial Research Project 3(0612) Total 9 (6630) Second Semester XXX XXX Quality Control and Management System Elective 3 (309) XXX XXX Elective 3 (309) QUE 693 Industrial Research Project 3(0612) Total 9 (6630) The Graduate Bulletin
6 COURSE DESCRIPTIONS Foundation Courses PRE 671 Advanced Engineering Statistics 3 (309) Modeling and Analysis of Uncertainty: random variables, transformation, simple random processes and their probability laws; Probability assessment and decision analysis; Inferential statistical techniques ; t, z, ANOVA, nonparamatric statistics. Simple linear regression analysis. PRE 675 Total Quality Management 3 (309) Study broad management skills and concepts for total quality management; an approach to quality encompassing management strategy, outlook, commitment, and methods applicable in any culture. Encompasses tools and approaches for quality management, problem solving, and improvement activities through lectures, readings, applications (including written reports), and participating in a workshop. QUE 502 Introduction to Quality Engineering 3 (309) Introduction to statistical based quality improvement methods useful in industrial settings; observational methods and design of experiment; experimentation to discover influential factors and to analyze sources of variation; Parameter design and Tolerance design. Statistical Technique and Mathematics Courses PRE 678 Design and Analysis of Experiments 3 (309) Applications of DOE for IE. Key principles of experimental design. Choice of the factors and choice of sample sizes. Single factor experiment. Factorial design. Confounding. 2k factorial design. Fractional factorial design. Process optimization through Response Surface Methodology (RSM). Nested design. QUE 501 Matrices and Vector for Quality Engineering 3 (309) Prerequisite: QUE 501 Matrix addition and matrix subtraction. Scalar multiplication and matrix multiplication. Rowechelon form. Canonical form. Elementary row and column operation, Rank. Simultaneous linear equations, Consistency, Matrix Notation, Theory of solution, Gaussian elimination algorithm. Square matrices, Diagonal matrices, Triangle matrices, Scalar matrices, Identity, Inverse matrices, Properties of inverse. Determinants, Expansion by cofactor, Properties of determinants, Inversion by determinant, Inversion by elementary operations. Vectors: Dimension Linear dependence and independence, Linear combinations, Properties of linearly dependence vectors. Eigenvalue and eigenvector, The CayleyHamilton Theorem. Vector in 2 and 3 dimensions, Norm of vector, Dot product, direction angle and direction cosine. Cross product. Triple product. Line and Plane in 3 dimension. QUE 511 Applied Regression Analysis 3 (309) An introduction to regression with emphasis on the quality engineering aspects. Begins with fitting a the regression line, both simple and multiple, converts this problem into matrix terms and the proceeds to fitting and evaluation of general linear and nonlinear models. Coefficient of determination and correlation analysis. QUE 512 Introduction to Time Series 3 (309) Autocorrelation, element of spectral analysis; dynamic models; autoregressive and moving average models; identification and fitting; forecasting; seasonal adjustment; application in manufacturing. 414 The Graduate Bulletin
7 QUE 513 Applied Multivariate Analysis 3 (309) Prerequisite: QUE 501 Multinormal distribution, estimation of mean and covariance matrix; Wishart distribution; distribution of partial and multiple correlation coefficients; Hotelling s T and Oslash; principal component. QUE 611 Response Surface Methodology 3 (309) An introduction to response surface method and its applications. Topics include steepest ascent, canonical analysis, designs, and optimality criteria. QUE 612 Reliability Engineering 3 (309) Engineering reliability, analysis of failure data, Weibull and Exponential distribution estimate of hazard rates and failure distributions of reliability of components and/or systems, acceptance sampling plan for quality control. Engineering design for reliability problem. QUE 619 Special Topics in Statistical Techniques 3 (309) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Quality Management Courses PRE 679 Advanced Quality Assurance 3 (309) Evolution of quality concept. Customer concept and customer needs identification. Quality Function Development (QFD). Quality assurance in marketing, design, production and aftersales. Quality planning and quality audit. Statistical techniques for quality assurance. QUE 521 Statistical and Engineering Process Control 3 (309) Concept and Philosophy of process control. Measurement system analysis Shewhart control chart CUSUM and EWMA chat Dynamic process control. Economic considerations in process control. Process capability analysis. QUE 522 Continuous Process Improvement 3 (309) Quality and Productivity. Philosophy and systems that lead to continuous improvement of product and process identification of nonvalue added activity. Source control, JIT manufacturing and KAIZEN techniques for planning and managing team projects, integrating the concepts of total quality, data based decision making and resource management. QUE 621 Advanced Methods for Quality Improvement 3 (309) Definition of quality improvement. Problem Solving process, Six sigma system. Statistical methodology for root causes identification. Statistical quality improvement. Taguchi s contribution and statistical consequences. QUE 622 Quality Planning for New Products and Services 3 (309) Customer behavior and Voice of the customer. Crossfunctional teambased methods and techniques for identifying the quality appropriate for customers, and for deploying that quality into the design, development, production and delivery of new services and products, including quality function deployment. Design for Six Sigma (DFSS). QUE 623 Strategic Quality Management Planning 3 (309) Concepts, methods, and techniques for quality driven strategic improvement planning, including the development, deployment, coordination, measurement, execution and review plans; emphasis is equally on objectives and on the mean to accomplish the objectives. The Graduate Bulletin
8 QUE 624 Quality Product and Process Design 3 (309) Quality engineering by robust design of products and processes. Development of an integrated systems to prepare product and process specifications for increased quality and reliability. QUE 629 Special Topics in Quality Management Systems 3 (309) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Electives Courses Engineering System Courses PRE 664 Design and Analysis of Manufacturing Systems 3 (309) Covers a broad range of technique and tools relevant to the design, analysis, development, implementation, operation, and control of manufacturing systems. PRE 674 Systems Optimization and Analysis for Manufacturing 3 (309) Introduction to dynamic systems, control, and mathematical programming. Discrete and continuoustime linear systems, optimal control and dynamic programming, linear programming, network flow problems, integer and quadratic programming, simulation, and computer applications from manufacturing processes and systems. QUE 531 Facilities Planning 3 (309) Introduction to plant location. Location analysis. Defining requirements. Developing Layout. Material Handling. System evaluating facility plans. QUE 532 Stochastic Processes 3 (309) Markov chains: classification, recurrence, transience, limit theory. Renewal theory, Markov process, birthdeath processes. Application to queuing, branching, and other models in science, engineering and business. QUE 631 Queuing Theory and Stochastic Modeling 3 (309) Reliability Theory; coherent systems and coherent systems and reliability bounds. Markovian queues. Steadystate behavior of general services time queues. Priority queues. Approximation methods and algorithms for complex queues. Simulation. Dynamic programming; application to inventory and queuing. QUE 632 Simulation Modeling and Analysis 3 (309) Applications of interactive data analysis and simulation modeling techniques to the design and analysis of systems in the manufacturing, distribution and service sectors. Emphasis on data analysis, model building, and evaluation of alternative designs. QUE 633 Supply Chain Management 3 (309) An Overview of Supply Chain Management Purposes and Processes. Components of a Competitive Supply Chain. Organizational Structures and the Supply Chain. Supply Chain Design. Evaluation and Measurement Models. Insourcing/Outsourcing Decisions. Relationship Analysis. QUE 639 Special Topics in Engineering Systems 3 (309) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. 416 The Graduate Bulletin
9 Decision Science Courses QUE 641 Analysis of Investment 3 (309) A course in quantitative methods for analyzing investments in technological environments. Replacement models; comparison of alternative investment model; risk analysis. QUE 642 Introduction to Decision Analysis 3 (309) Overview of modeling techniques and methods used indecision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of component in decisionmaking are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted. QUE 643 System Evaluation 3 (309) Design of systems for evaluating the effectiveness (efficiency, benefits, costs, resource utilization, contribution) of systems. Measurement, analysis and interpretation of results including implication for engineering research. QUE 649 Special Topics in Decision Making 3 (309) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Other XXX xxx Free electives 3 (309) Students are able to choose a course or courses from other programs. The course/s should be related to students researches or their interests. This should be performed under supervision of students advisors. Seminar QUE 691 Seminar 1 (103) Discusses research topics related to Quality Engineering with faculty members and experts. Thesis and Industrial Research Project QUE 692 Thesis 12 ( ) Individual theoretical or industrial research has been carried out under the supervision of a faculty member in the related approved topics, and then related approved topics, and then write up the thesis and perform oral examination. QUE 693 Industrial Research Project 6 ( ) Students complete the industrial research project in manufacturing industries with in an academic year. They must write up the industrial research project report and perform oral examination. The Graduate Bulletin
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