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Routing and dispatching of multiple mobile agents in integratedenterprises

Author

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  • Elalouf, Amir
  • Levner, Eugene
  • Cheng, T.C.E.

Abstract

Agent-based technology provides a natural way to design and implement enterprise collaboration. We model the integrated manufacturing enterprise as a directed graph and reduce the problem of enhancing the efficiency of mobile agents to the problem of finding resource-constrained extremal paths in the graph. We suggest a general two-stage solution method combining routing and dispatching, which extends an earlier computational scheme in the literature for the constrained path problems. The new method essentially improves on several earlier algorithms and provides a new approach for constructing a fully polynomial-time approximation scheme(FPTAS) for the multi-agent constrained path problem.

Suggested Citation

  • Elalouf, Amir & Levner, Eugene & Cheng, T.C.E., 2013. "Routing and dispatching of multiple mobile agents in integratedenterprises," International Journal of Production Economics, Elsevier, vol. 145(1), pages 96-106.
    • Handle: RePEc:eee:proeco:v:145:y:2013:i:1:p:96-106
    DOI: 10.1016/j.ijpe.2013.01.003
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    References listed on IDEAS

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    1. Chabrol, Michelle & Sarramia, David & Tchernev, Nikolay, 2006. "Urban traffic systems modelling methodology," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 156-176, February.
    2. Refael Hassin, 1992. "Approximation Schemes for the Restricted Shortest Path Problem," Mathematics of Operations Research, INFORMS, vol. 17(1), pages 36-42, February.
    3. Gallay, Olivier & Hongler, Max-Olivier, 2009. "Circulation of autonomous agents in production and service networks," International Journal of Production Economics, Elsevier, vol. 120(2), pages 378-388, August.
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    Cited by:

    1. Adhau, Sunil & Mittal, M.L. & Mittal, Abhinav, 2013. "A multi-agent system for decentralized multi-project scheduling with resource transfers," International Journal of Production Economics, Elsevier, vol. 146(2), pages 646-661.
    2. Becker, Till & Illigen, Christoph & McKelvey, Bill & Hülsmann, Michael & Windt, Katja, 2016. "Using an agent-based neural-network computational model to improve product routing in a logistics facility," International Journal of Production Economics, Elsevier, vol. 174(C), pages 156-167.
    3. Chi To Ng & T. C. E. Cheng & Eugene Levner & Boris Kriheli, 2021. "Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm," Annals of Operations Research, Springer, vol. 296(1), pages 407-420, January.

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