Simulation modeling with hierarchical planning: application to a metal manufacturing system

Authors:
Mi Ra Yi;Tae Ho Cho
Affiliations:
School of Information & Communication Eng., Sungkyunkwan University, Suwon, Korea;School of Information & Communication Eng., Sungkyunkwan University, Suwon, Korea
Venue:
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Year:
2004

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Abstract

There has been an increasing volume of research that combines artificial intelligence (AI) and simulation in the last decade to solve the problems of various kinds, some of which are related to manufacturing systems. In modern manufacturing industries, automatic systems composed of computers are common, and these systems are continuing to enhance the efficiency of the manufacturing process by analyzing the overall production process – from design to manufacturing. This paper deals with the problem regarding how to improve the productivity of a metal grating manufacturing system. To solve this problem, we proposed and applied Hierarchical RG-DEVS formalism, which is a modeling methodology for incorporating the hierarchical regression planning of AI and simulation, for constructing an environment for sound modeling. This research presents not only an improvement of the metal production design environment that can predict efficiency in the manufacturing process, but also a cooperation technique for AI planning and simulation.