This course develops a comprehensive overview of the analysis, design and technology of manufacturing systems, with the emphasis on production systems. Technologies considered include machine configuration and control, CNC technology, cellular and flexible manufacturing systems, robotics and automation, and an introduction to scheduling, operations research and process optimisation.
Using a case study approach, the course will introduce basic statistical quality control, including probability distributions, regression analysis, variance, central limit theorem, significance and hypothesis testing. This leads on to statistical quality control and the design of experiments for manufacturing systems. An introduction to hard and flexible automation systems, and the arguments for both.

Simulation Exercise (10%); Quiz (20%); Case Study (40%); Quiz (30%)

ENGN3212 and ENGN2226

Groover, Mikell P., Automation, production systems and computer integrated manufacturing (second edition), Prentice-Hall, Inc., 2001.

Course page http://eng.anu.edu.au/study/currentstudents/courses