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| Manufacturing and Production Systems |
Ananth Krishnamurthy,
3258 Mechanical Engineering Building,
608/890-2236
Leyuan Shi,
3250 Engineering Centers Building,
608/265-5969
Dharmaraj ("Raj") Veeramani,
4101 Mechanical Engineering Building,
608/262-0861
Shiyu Zhou,
3254 Mechanical Engineering Building,
608/262-9534
Harold J. Steudel (Professor Emeritus),
3011 Mechanical Engineering Building,
608/262-9927
Robert G. Radwin, 2128 Engineering Centers Building, 608/263-6596
BS in an engineering discipline or equivalent
Engineering Economy (ISyE 313)
Calculus Based Statistics (Stat 312)
Simulation (ISyE 320/ISyE 321)
Equivalent coursework is acceptable
NOTE: In addition to the above, a background in deterministic and stochastic modeling (e.g., ISyE 323) is suggested.
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.
30 degree credits subject to the following degree requirements:
CORE COURSES (6 cr. Select any two.)
| ISyE/ME 510 | Facilities Planning |
| ISyE 605 | Computer Integrated Manufacturing |
| ISyE 655 | Advanced CAD/CAM |
FOCUS COURSES (18 cr total)
Manufacturing System Modeling & Analysis
| ISyE/ME 510 | Facilities Planning |
| ISyE/OTM 620 | Simulation Modeling and Analysis of Industrial Engineering Systems |
| ISyE/ME 641 | Design and Analysis of Manufacturing Systems |
| ISyE/ME 643 | Performance Analysis of Manufacturing Systems |
| ISyE 816 | Topic: Supply Chain Optimization |
| MATH/ISyE 632 | Introduction to Stochastic Processes |
| ISyE/OIM 578 | Facilities Location Models |
| OTM 646 | Logistics Strategy |
| OTM 765 | Topic: Global Manufacturing and Logistics |
Computer Integrated Manufacturing Processes and Technology
| ISyE 415 | Introduction to Manufacturing Systems, Design and Analysis |
| ISyE 605 | Computer Integrated Manufacturing |
| ISyE 655 | Advanced CAD/CAM |
| ISyE 691 | TOPIC: Information Sensing and Technology |
| ME 417 | Introduction to Polymer Processing |
| ME 418 | Engineering Design with Polymers |
| ME 419 | Fundamentals of Injection Molding |
| ME 439 | Introduction to Robotics |
| ME 447 | Computer Control of Machines and Processes |
| ME 601 | Topic: Rapid Prototyping Technologies and Adv. Manufacturing |
| ME 739 | Advanced Automation and Robotics |
Manufacturing System Management
| ISyE/ME 513 | Analysis of Capital Investments |
| ISyE 515 | Engineering Management — Continuous Process Improvement |
| OTM 654 | Production Planning and Control |
| OTM 700 | Operations Management |
| OTM 758ISyE 658/ | Managing Technological Change in Manufacturing Systems |
Information & Decision Technology
| CS 302 | Introduction to Programming |
| CS 367 | Introduction to Data Structures |
| CS 540 | Introduction to Artificial Intelligence |
| CS 564 | Database Mgmt Systems: Design & Implementation |
| ISyE 516 | Introduction to Decision Analysis |
| ISyE 691 | Topic: Financial Engineering in Manufacturing Operations |
| ISyE/OTM 671 | Electronic Commerce — Technologies, Strategies and Applications |
| ISyE/OTM 672 | Electronic Business Transformation: Design, Analysis and Justification |
| INFOSYS 765 | Topic: Developing E-Commerce Systems |
| OTM 765 | Database Concepts for Operations Management |
BREADTH COURSE (3 cr; Select one course)
Human Factors & Ergonomics in Manufacturing
| ISyE 555 | Human Performance and Accident Causation |
| ISyE/BME 564 | Ergonomics in Manufacturing and Industry |
| ISyE/Psych 653 | Organization and Job Design |
| ISyE 764 | Occupational Biomechanics |
Quality in Manufacturing
| ISyE 511 | Statistical Control in Industrial Systems |
| ISyE 520 | Quality Assurance Systems |
| ISyE 575 | Introduction to Quality Engineering |
| OTM 770 | Introduction to Quality & Productivity Improvement |
FREE ELECTIVE (3 cr)
Any graduate level course that is consistent with the student's plan of study may be chosen upon approval by the advisor. Students interested in project and research experience are encouraged to take an Independent Study.
Changes from the standard curriculum MUST BE APPROVED (in writing) by the student's advisor and the Chair of the Manufacturing & Production Systems Curriculum Committee in advance.
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.
Flexible Manufacturing Cell Laboratory
This laboratory enables integrated design, manufacturing, inspection, and assembly. It includes CAD/CAM systems, CNC milling and turning centers, an automated storage and retrieval system, a material-handling conveyor and robots, a CMM integrated with a computer-aided inspection system, and an assembly robot having tactile- and vision-sensing capabilities.
Manufacturing Enterprise Systems Optimization Laboratory
In this laboratory, students and faculty members perform interdisciplinary research on new methodologies and tools for modeling, design, and optimization of manufacturing systems. Research conducted in this laboratory utilizes many interesting mathematical models and techniques from computer science, control theory, and operations research. Resources available include UNIX workstations, personal computers, and a variety of software tools.
Manufacturing Systems Analysis Laboratory
In this laboratory, students and faculty members perform research on new techniques for modeling and analysis of manufacturing systems, and application of these techniques to enable time-based competitive manufacturing. The laboratory consists of several computers equipped with state-of-the-art system analysis tools.
Laboratory for Manufacturing System Realization and Quality (MSR&Q)
The goal of this laboratory is to develop a science base for a new manufacturing system realization and quality improvement. It will bring together research on manufacturing system CAD/CAM models and statistics-based methods for design, control, and diagnostics of multistage manufacturing processes behavior/quality. In doing so it addresses the following areas: (i) system decomposition and analysis using the concept of product/process key characteristics and their causalities; (ii) developing statistical methods driven by engineering models to achieve quality improvement, i.e., integrating models of data sets with efficient CAD/CAM models of manufacturing systems instead of identifying model(s) of data set alone as in the traditional SPC, and (iii) application of the developed models towards: root cause diagnosis of manufacturing variability; distributed sensing system/networks; and manufacturing system design evaluation and optimization in early design phases. Information generated is further applied to study reusable/reconfigurable multistage manufacturing systems convertability, scalability and diagnosability. Resources available include: PCs, Laser tracker, various software (CAM, VSA,.....).
Laboratory for Manufacturing Process Analysis and Control (MPAC)
In this laboratory, we focus on interdisciplinary research on new methodologies of data analysis, knowledge discovery, and control of manufacturing processes for quality and productivity improvement. The research is based on the fusion of the diverse information sources, such as the in-process sensing information of the machine conditions, and the final product quality information, and the discrete event signals from the logic controller of the process. The research utilizes theories of engineering field knowledge, signal processing, advanced statistical analysis, and system and control.
Contact:
Engineering Career Services Office
Engineering Centers Building
1550 Engineering Drive, Room M1002
Madison, WI 53706
Tel: 608/262-3471
Fax: 608/262-7262
E-mail: ecs@engr.wisc.edu
http://ecs.engr.wisc.edu/
Contact the department office at:
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
Web: www.engr.wisc.edu/ie
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Copyright 2009 The Board of Regents of the University of Wisconsin System Date last modified: 06-Jul-2009 13:53:51 Date created: 14-Jun-2000 Content by: prpeters@engr.wisc.edu Accessibility Web services |