ホロニック生産システムにおけるリアルタイムスケジューリングに関する研究 : 第3報, システム状態の予測における効用値の決定基準のモデル化(機械要素, 潤滑, 工作, 生産管理など)

概要

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This paper deals with a real-time scheduling system of HMS (Holonic Manufacturing System). Simulation based procedures have been proposed and implemented to estimate the future status of HMS and to determine the utility values, in the previous paper. The objective of this research is to improve the estimation procedure of the future status of HMS. A neural network model is proposed to represent the decision criteria of the utility values of the job holons and the resource holons. The neural network model proposed here is used by the job holons and the resource holons, in order that a holon estimates the future status of the HMS for selecting its suitable utility values in the real-time scheduling process. Some case studies are carried out for verifying the effectiveness of the proposed model.
2006-01-25