Industrial and Systems Engineering
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Quality Engineering

Faculty

Pascale Carayon, 3126 Engineering Centers Building 608/265-0503
Shiyu Zhou, 3254 Mechanical Engineering Building 608/262-9534
David R. Zimmerman, 3017 Mechanical Engineering Building and 1163 WARF, 608/263-4875
Harold J. Steudel, Professor Emeritus, 3011 Mechanical Engineering Building 608/262-9927

Prerequisites

Students entering this program are expected to have a suitable background and preparation for the intended course of study. These requirements are discussed between the student and their advisor. In some cases, it may be necessary or appropriate to take additional classes to satisfy the intended course of study.

Planning Grid

Graduate students should use the curriculum planning grid for help with their MS program planning and then complete and submit a finalized curriculum form during their final semester of study to the Student Services Office in 3182 Mechanical Engineering Building for confirmation of their graduation requirements.

Program Description

Ever increasing global competition has sparked renewed interest in quality improvement of products and services. This, in conjunction with the greater complexity of modern production and service systems, has created a demand for engineers who can master the technical and managerial tools and concepts needed for the economic implementation of quality systems. To meet this demand the graduate program concentration in Quality Engineering exists to prepare students for careers as quality professionals in industry, health care, consulting, research, and teaching.

The MS degree is designed to provide necessary background for a professional career in industry or government. Emphasis is placed on the foundations of quality improvement, organizational dynamics/change strategies, business and statistical methods. There is a flexible elective list of courses to enable the student to also develop skills in manufacturing systems, health systems, service systems and decision sciences.

The PhD degree in Industrial Engineering with a concentration in Quality Engineering seeks to qualify students for leadership positions in research, consulting, government and industry as well as for positions on university faculties in industrial engineering, business and related fields.

Curriculum

The curriculum is designed to provide the student with a balance and breadth of understanding of industrial engineering disciplines that contribute to designing and delivering high quality products or services safely and efficiently. To accomplish this, courses can be selected from each of four groupings: (1) foundation courses; (2) organizational dynamics/change strategies and sociotechnical engineering; (3) statistical methods; and (4) a grouping consisting of Industrial Engineering and Business electives.

FOUNDATION COURSES (all required—12 cr)

ISyE 512Inspection, Quality Control, and Reliability
ISyE 515Engineering Management of Continuous Process Improvement
ISyE 520Quality Assurance Systems
ISyE 575Introduction to Quality Engineering

ORGANIZATIONAL DYNAMICS/CHANGE & SOCIOTECHNICAL SYSTEMS (6 cr minimum)

ISyE/Psych 652Sociotechnical Systems
ISyE/Psych 653Organization and Job Design
ISyE/Psych 753 Seminars in Organization & Job Design
ISyE 854Special Topics in Organizational Design
MHR 700Organizational Behavior
OTM 770Introduction to Quality & Productivity Improvement

STATISTICAL METHODS (3 cr minimum)

ISyE 612Information Sensing and Analysis for Manufacturing Processes
STAT 333Applied Regression Analysis
STAT 349Introduction to Time Series
STAT 411Introduction to Sample Survey Theory and Methods
STAT 421Applied Categorical Data Analysis
STAT 701Applied Time Series Analysis — Forecasting and Control
STAT 756Multivariate Analysis
STAT 803 Experimental Design I
STAT 849Theory and Application of Regression and Analysis of Variance I

ISyE ELECTIVES (3 cr minimum)

ISyE 417Health Systems Engineering
ISyE 513Analysis of Capital Investments
ISyE 610Design of Program Evaluation Systems
ISyE 613Systems Evaluation
ISyE/OTM 620Simulation Modeling & Analysis
ISyE/ME 641Design and Analysis of Manufacturing Systems
ISyE 946Advanced Topics in Mfg Systems
OTM 758/ISyE 658Managing Technological Change in Manufacturing Systems

BUSINESS ELECTIVES (3 cr minimum)

MHR 700Organizational Behavior
MHR 705Human Resource Management
MHR 720Organization & Management Processes
MHR 722Entrepreneurial Management
OTM 860Planning for Quality in New Products & Services
OTM 861Strategic Breakthrough Management & Quality Planning

INDEPENDENT STUDY (3 cr required)

Three additional credits approved in advance by the student's advisor are also required. Independent study or an actual quality improvement project from an industrial, health or service area is required for the 3 credits.

MS Degree Requirements

To complete the MS program, a GPA of 3.20 or above in graduate level courses and 30 degree credits are required with 15 degree credits in the ISyE Department.

Doctoral Requirements

The requirements for the PhD degree include no minimum number of credits, but include independent study in areas of specialization, satisfactory performance in the Qualifying Exam, the preliminary exam, and a successful defense of a PhD thesis. There are two areas for the qualifying Exam, one of which is the Quality Engineering Exam. Admission and GPA requirements are the same as those specified by the ISyE Department.

Recent PhD Thesis Titles

Aktan, M., 2003, Real Options Valuation of Flexibility in Manufacturing and Quality. (Advisor: H.B. Nembhard)

Vivacqua, C., 2003, Using Strip-Block Designs as an Alternative to Reduce Costs of Experimentation in Robust Product Design and Multistage Processes. (Advisor: H. Steudel)

De Pinho, André L. S., 2003, Follow-up Experiments to Remove Confounding Between Location and Dispersion Effects in Unreplicated Two-Level Factorial Designs. (Advisor: H. Steudel)

Paniagua Quiñones, Maria del Carmen, 2004, Use of Strip-Plot Designs for Three-Stage and Multi-Stage Processes for Robust Product Design. (Advisor: H. Steudel)

Yuri W. Ramirez Rodríguez, 2005, Defining Measures for the Intensity of Knowledge Work in Tasks and Workers. (Advisor: H Steudel)

Nong Jin, 2006, Data-Driven Self-Improving Fault Detection and Diagnosis in Complex Manufacturing Systems. (Advisor: S. Zhou)

Research Facilities

Job Placement

Contact: Engineering Career Services:

Engineering Centers Building
1550 Engineering Drive, RM M1002
Madison, WI 53706

Tel: 608/262-3471
Fax: 608/262-7262
ECS Web Address: ecs.engr.wisc.edu

For More Information

Contact:

University of Wisconsin-Madison
Industrial and Systems Engineering Department
1513 University Avenue, Room 3107
Madison, WI 53706-1572

Tel: 608/262-2686
Fax: 608/262-8454
Email:ie-admission@engr.wisc.edu
www.engr.wisc.edu/ie




Copyright 2009 The Board of Regents of the University of Wisconsin System
Date last modified: 02-Jul-2009 15:40:46
Date created: 14-Jun-2000
Content by: prpeters@engr.wisc.edu
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