Using simulation to optimize transhipment systems: Applications in field

Roberto Cigolini, Margherita Pero, Tommaso Rossi () and Andrea Sianesi
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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

Maritime Economics & Logistics, 2013, vol. 15, issue 3, 332-348

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.

Date: 2013
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