Topics include sensors, actuators, machine vision, programmable logic controllers, and PC-based data acquisition and control. Application of sensors and control interfaces for manufacturing systems. Design setup, implementation, data gathering, and analysis of collected data on real process control. Introduction to the analysis of various aspects of production planning and control. Topics include classical inventory models, MRP, DRP, forecasting, production planning, scheduling, queuing, and line balancing.
Emphasis is on integration of production and control activities.
IME 320 or equivalent with permission of instructor. Philosophy, techniques, and methods for continuous improvement of manufacturing, business, and service processes. Shewhart cycle, team building and dynamics, quantitative and qualitative methods, Taguchi, and other quality engineering methods are covered. Introduction to simulation, including development of simulation models, random number and random variable generation, model validation and testing, analysis of model output, and an overview of simulation languages. Emphasizes the use of simulation modeling in decision making through a series of projects involving decision problems.