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Simulation Modeling with Hierarchical Planning: Application to a Metal Manufacturing System

  • Mi Ra Yi
  • Tae Ho Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3397)

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.

Keywords

Target System Modeling Methodology State Transition Diagram Welding Type Hierarchical Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Mi Ra Yi
    • 1
  • Tae Ho Cho
    • 1
  1. 1.School of Information & Communication Eng.Sungkyunkwan UniversitySuwonKorea

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