Abstract
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.
Original language | English |
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Pages (from-to) | 261-266 |
Number of pages | 6 |
Journal | Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C |
Volume | 72 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2006 Jan |
Externally published | Yes |
Keywords
- Estimation of Future Status
- Holonic Manufacturing System
- Modeling of Decision Criteria
- Neural Network
- Real-time Scheduling
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering
- Industrial and Manufacturing Engineering