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Optimal Design Methodology for an AGV Transportation System by Using the Queuing Network Theory

  • Satoshi Hoshino
  • Jun Ota
  • Akiko Shinozaki
  • Hideki Hashimoto

Abstract

In this paper, we propose an optimal design methodology for an AGV transportation system by using the queuing network theory. In this study, we deal with an actual transportation system as a combinatorial optimization problem. Therefore, some kind of paths and working multi-agents, such as Automated Guided Vehicles (AGVs), Automated Transfer Cranes (ATCs), and container cranes, are included in this system as design objects. We describe how to derive these design parameters (i.e., design solutions) by the performance evaluation of an AGV transportation system.

Keywords

Transportation System Traffic Intensity Combinatorial Optimization Problem Design Solution Container Ship 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Abe M. et al: The Optimum Design for Materials Handling-Carrying System in Coaling Wharf (1st Rep), Proc. of Int. Conf. on Materials-Handling Equipment and Logistics, pp. 133–143, 1991.Google Scholar
  2. 2.
    Abe M. et al.: The Optimum Design for Materials Handling-Carrying System in Coaling Wharf (2nd Rep), Proc. of Int. Conf. on Materials-Handling Equipment and Logistics, pp. 144–157, 1991.Google Scholar
  3. 3.
    Chiba H. et al.: Integrated Design with Classification of Transporter Routing for AGV Systems, Proc. 2002 IEEE/RSJ Int. Conf. Intell. Robots and Systems, pp. 1820–1825. 2002.Google Scholar
  4. 4.
    Liu C.-I. et al.: Design, Simulation, and Evaluation of Automated Container Terminls, IEEE Tran. on Intelligent Transportation Systems, Vol. 3, No. 1, pp. 12–26, 2002.CrossRefGoogle Scholar
  5. 5.
    Buzen J.P.: Computational algorithms for closed queueing networks with exponential servers, Comm. ACM, 16, 9, pp. 527–531, 1973.MATHCrossRefMathSciNetGoogle Scholar
  6. 6.
    Gordon W.J. et al.: Closed queuing systems with exponential servers, Oper. Res. 15, 2, pp. 254–265, 1967.MATHCrossRefGoogle Scholar
  7. 7.
    Ottjes J.A. et al.: Simulation of a New Port-Ship Interface Concept for Inter Modal Transport, Proc. of the 11th European Simulation Symposium, 1999.Google Scholar
  8. 8.
    Duinkerken M.B. et al.: A Simulation Model for Automated Container Terminals, Proc. of the Business and Industry Simulation Symposium, pp. 134–149, 2000.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Satoshi Hoshino
    • 1
  • Jun Ota
    • 1
  • Akiko Shinozaki
    • 2
  • Hideki Hashimoto
    • 2
  1. 1.Dept. of Precision Engineering, School of EngineeringThe University of TokyoTokyoJapan
  2. 2.Mitsubishi Heavy Industries, LTD.KanagawaJapan

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