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Titolo:
An intelligent decision support system for part launching in a flexible manufacturing system
Autore:
Shukla, CS; Chen, FF;
Indirizzi:
Virginia Polytech Inst & State Univ, Grado Dept Ind & Syst Engn, Flexible Mfg Syst Lab, Blacksburg, VA 24061 USA Virginia Polytech Inst & State UnivBlacksburg VA USA 24061 VA 24061 USA Boston Sci Corp Symbiosis, Dept Mfg Engn, Miami, FL USA Boston Sci Corp Symbiosis Miami FL USA sis, Dept Mfg Engn, Miami, FL USA
Titolo Testata:
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
fascicolo: 6, volume: 18, anno: 2001,
pagine: 422 - 433
SICI:
0268-3768(2001)18:6<422:AIDSSF>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
HANDLING-SYSTEM; SIMULATION; FMS; DESIGN; SELECTION; MACHINES;
Keywords:
control; Flexible Manufacturing Systems (FMS); heuristics; intelligent control; neural networks;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
59
Recensione:
Indirizzi per estratti:
Indirizzo: Chen, FF Virginia Polytech Inst & State Univ, Grado Dept Ind & Syst Engn, Flexible Mfg Syst Lab, Blacksburg, VA 24061 USA Virginia Polytech Inst & State Univ Blacksburg VA USA 24061 USA
Citazione:
C.S. Shukla e F.F. Chen, "An intelligent decision support system for part launching in a flexible manufacturing system", INT J ADV M, 18(6), 2001, pp. 422-433

Abstract

The effective control of flexible manufacturing systems (FMS) poses a major challenge to designers and the research community. In this paper, the framework of a unique decision support system to assist in the control of a FMS through intelligent part-launching is introduced. The proposed system makes use of a new heuristic method based on the pull concept, and a neural network trained with data from a system simulation model, which in turn provides a decision about choosing a part to be launched into the FMS. The performance of the proposed heuristic method was tested against another popular heuristic method normally used in existing FMS via discrete event simulation models. Data sets from the simulation program of the proposed system wereused to train the neural network, which can then be used on the shop floorfor realtime decision support. The output from the trained neural network is based on the same principle as the proposed heuristic method used in thesimulation program. Therefore, the decision support provided by the neuralnetwork can be used for improved shop floor control.

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Documento generato il 28/03/20 alle ore 10:57:58