Electrical Engineering and Computer Science

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EECS 598-1


Instructor S.M. Meerkov

This course is devoted to rigorous engineering methods for analysis, design, and continuous improvement of production systems in large volume manufacturing. The main topics include:

1. Quantitative methods for analysis of production systems
2. Analytical methods for design of lean in-process buffering
3. Analytical methods for design of lean finished goods buffering
4. Measurement-based methods for identification, monitoring, and elimination of production systems bottlenecks
5. System-theoretic properties of production lines in large volume manufacturing

The techniques included in this course have been developed at the University of Michigan during the last 15 years. They have been applied in numerous projects at GM, Ford and DaimlerChrysler.

The only prerequisite for the course is elementary probability theory. However, all probability notions, necessary for the course, will be reviewed.

The course includes weekly homework assignments, one midterm, and a project to be presented as a final exam.

The course is 3 credit hours. It is open to all graduate students in CoE and UMBS. Advanced undergraduates are also welcome.

To accommodate industrial audience pursuing continued education, the course will meet once a week, from 6 to 9 pm. The day of the week is yet to be determined (depending on studentsí convenience and scheduling constraints).