Mathematical and computer methods for design, planning, scheduling and control in manufacturing and distribution systems.

This course will focus on advanced models to aid in the design, planning and control of complex production and distribution systems. Topics may include: lot sizing for multi-stage systems, flexible manufacturing systems design and control, just-in-time systems, inventory control in distribution systems. Readings will be from recent journal articles. A small project is required, which may be of a practical or research nature.

IEOR 261 EXPERIMENTING WITH SIMULATED SYSTEMS

Lee Schruben, Instructor
Spring Semester

Three hours of lecture each week.
Prerequisites: IEOR IEOR 263A and an upper division statistics course

The course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. About a third of the course will be devoted to system modeling with the remaining two-thirds concentrating on simulation experimental design and analysis.