Introduction to Manufacturing Strategies
Based on manufacturing systems, introducing various strategic concepts such as ERP, MRP, SCM, planning, scheduling, resource allocations, group technology, etc. and their concepts, roles, methods, and problems within the systems.
Computer Aided Manufacturing
Tool path generations for computer numerical control machines based on part design drawings, Introducing those concepts such as tolerances, machinability, tool materials, cutting power, tool wear, surface roughness, process optimization, etc. Laboratory project.
Production Information Systems
Basic elements for manufacturing system integration and the major principles and methods for the integration. Introducing production information processing for point of production(POP) systems, flexible manufacturing systems, and next generation manufacturing systems based on integration types, network architectures, and database.
Seminar in Management Engineering
This course is designed for graduate students who are familiar with classical optimization theories, network theories, probabilistic theories,probabilistic approaches, information theories, knowledge engineering, and other modeling concepts. This course introduce artificial neural network, evolutionary theories including genetic algorithm, swarm intelligence including particle swarm optimization, fuzzy system, etc.
Advanced Topics in CAPP/CAM
Theories and algorithms to develop process plans, tool path generation algorithms defecting interferences between machine tool and workpiece, constructing databases, and verification. Optimal path generations for various working envelopes of robots.
Strategic Information System
This course is offered to the graduate student in a seminar format during a semester. The seminar is to focus on exploring and articulating framework and methodology associated with deployment of information Technology for help formulating or executing business strategy.
Advanced Business Forecasting
Review of various computational intelligence concepts such as neural networks, evolutionary theories, genetic algorithms, swarm intelligence, ant colony optimization, fuzzy theories, and other optimization theories. Variety of applications of these concepts in BT and IT areas. Further discussions on new areas to be applicable.
Mathematical modeling for curves, surfaces, and solids describing the shape of an object and simulating dynamic processes. Theoretic descriptions of related properties, intersections, and transformations.