学習機構を持つ自在搬送システムの最適化

概要

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This paper deals with a flexible transfer system (FTS) in self-organizing manufacturing system (SOMS), SOMS is composed of modules that self-organize with information from other modules and environment. Each module makes outputs through the interaction with other modules. FTS is composed of a number of conveyer units and machining centers. This system contains 3 processes of tool locating, job scheduling, and path planning. In this paper, we focus on path planning of the FTS. There are two stages of decision making: preplanning by global control and replanning by local control. A steady-stated genetic algorithm and stochastic learning automaton are applied to the preplanning and to the replanning, respectively. Furthermore, we propose an automatic control method of the providing interval of materials using simplified fuzzy inference in order to improve the performance of this manufacturing system. Finally, this paper discusses the effectiveness through several computer simulations.
社団法人日本機械学会の論文
2000-12-25