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Using simulation to optimize transhipment systems: Applications in field

Author

Listed:
  • Roberto Cigolini

    (School of Management, Politecnico di Milano, Piazza Leonardo da Vinci, 32, I-20133, Milan, Italy. E-mails: roberto.cigolini@polimi.it; margherita.pero@polimi.it; andrea.sianesi@polimi.it)

  • Margherita Pero

    (School of Management, Politecnico di Milano, Piazza Leonardo da Vinci, 32, I-20133, Milan, Italy. E-mails: roberto.cigolini@polimi.it; margherita.pero@polimi.it; andrea.sianesi@polimi.it)

  • Tommaso Rossi

    (Institute of Technology, Università Carlo Cattaneo – LIUC, Castellanza (VA), Italy.)

  • Andrea Sianesi

    (School of Management, Politecnico di Milano, Piazza Leonardo da Vinci, 32, I-20133, Milan, Italy. E-mails: roberto.cigolini@polimi.it; margherita.pero@polimi.it; andrea.sianesi@polimi.it)

Abstract

This article presents a new simulation-based meta-model to support logistics providers in sizing transhipment systems. The meta-model is made up of: a user interface with database (where system elements and their parameters are specified); a library of objects (which represent all the elements of the system) and a software application to automatically build the simulation model of the system. The proposed meta-model – through a unique tool – allows service providers to design transhipment systems for various environments, whenever the experience from previous projects is often helpless. The suggested approach has been successfully used in two case-studies: an effective cost analysis has been carried out, by taking into account the expected effects on both revenues and investments; and the robustness of each system’s configuration has been tested by analysing its performance under different levels of various sources of variance.

Suggested Citation

  • Roberto Cigolini & Margherita Pero & Tommaso Rossi & Andrea Sianesi, 2013. "Using simulation to optimize transhipment systems: Applications in field," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(3), pages 332-348, September.
  • Handle: RePEc:pal:marecl:v:15:y:2013:i:3:p:332-348
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    Citations

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    Cited by:

    1. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    2. Furkan Oztanriseven & Heather Nachtmann, 2020. "Modeling dynamic behavior of navigable inland waterways," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 173-195, June.
    3. Pero, Margherita & Stößlein, Martin & Cigolini, Roberto, 2015. "Linking product modularity to supply chain integration in the construction and shipbuilding industries," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 602-615.

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