Showing papers by "Tommaso Rossi published in 2013"
TL;DR: A new simulation-based meta-model is presented, made up of a user interface with database, a library of objects and a software application to automatically build the simulation model of the system.
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.
7 citations
TL;DR: In this article, a transhipment system for supplying coal to an electric power plant in the neighbourhood of a river port has been properly sized through simulation, taking into account both expected effects on revenues and investments, whose robustness has been tested by analysing their performance when traffic, weather conditions and vessel scheduling change.
Abstract: This article aims at properly sizing a transhipment system for supplying coal to an electric power plant in the neighbourhood of a river port. The electric power plant under study is expected to satisfy 8% of Italian electricity needs. Raw materials are supplied from all over the world and transported by sea to the plant: since vessels cannot navigate the river (due to river depth), an off-shore transhipment system has been sized through simulation. Service level and costs have been analysed under 16 different scenarios, obtained by varying the number of barges, barge capacity and capacity and cranes rate of the floating transfer station. Thanks to simulation the cost analysis taking into account both expected effects on revenues and investments allowed to preliminary select four best scenarios, whose robustness has been tested by analysing their performance when traffic, weather conditions and vessel scheduling change.
7 citations