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A Simulation-Based Optimization Algorithm for Operations Control in FMS

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Systems Analysis and Simulation II

Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 2))

Abstract

This paper is an attempt to model and partially solve the scheduling problem in the environment of modern flexible manufacturing systems. In order to obtain a problem-solving, we propose an efficient algorithm based on simulation.

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References

  1. JC. Emery, “Job Shop Scheduling by Means of Simulation and an Optimum Seeking Search ”Proc. of The Third Conf. of Applications of Simulation, Los Angeles, USA (1969), p. 363–371.

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  2. Jiri Herman, Zdenek Safka, “Dynamic Rescheduling of Operations - a Computer Approach to Production Control”, Engineering Costs and Production Economics 6 (1982), p. 131–139

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  3. Andrew Kusiak, “Planning of Flexible Manufacturing Systems”, Robotica (1985), vol. 3, p. 229–232.

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Author information

Authors and Affiliations

  1. Research Institute for Computer Technique and Informatics, 71316, Bucharest 1, Romania

    Carmen Bobeanu, Gabriel Neagu & Florin Filip

Authors
  1. Carmen Bobeanu
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  2. Gabriel Neagu
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  3. Florin Filip
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Editor information

Editors and Affiliations

  1. Zentralinstitut für Kybernetik und Informationprozesse, Akademie der Wissenschaften der DDR, Berlin, Germany

    Achim Sydow

  2. Computer Engineering Division, National Technical University of Athens, Athens, Greece

    Spyros G. Tzafestas

  3. Department of Computer Science, Rutgers University, New Brunswick, NJ, USA

    Robert Vichnevetsky

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© 1988 Akademie-Verlag Berlin

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Cite this paper

Bobeanu, C., Neagu, G., Filip, F. (1988). A Simulation-Based Optimization Algorithm for Operations Control in FMS. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation II. Advances in Simulation, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8936-1_26

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  • DOI: https://doi.org/10.1007/978-1-4613-8936-1_26

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97093-6

  • Online ISBN: 978-1-4613-8936-1

  • eBook Packages: Springer Book Archive

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