A model optimizing the port-hinterland logistics of containers: The case of the Campania region in Southern Italy
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Abstract
This article presents an optimization model for the economic analysis and strategic planning of port-hinterland container logistics systems. The model was employed to investigate the inland multimodal distribution of import/export containers handled at the seaports located in the Campania region of Southern Italy. The loading units can transit through the regional off-dock intermodal and logistic facilities called ‘interports’, as well as through extra-regional locations which have a railway terminal, before reaching the final inland destinations or the seaports. The model mainly aims at highlighting and measuring possible advantages arising both from shifting the seaport exit/entry of containers to regional interports, and from employing intermodal solutions for inland distribution. The programming problem minimizes the sum of all container-related generalized logistic costs throughout the entire multimodal port-hinterland network. The logistic costs include transportation costs (by road and railway), terminal handling and storage costs, customs control costs, in-transit inventory holding costs and container leasing costs. A numerical prototype has been formulated and solved using a high-level programming language for large-scale mathematical optimization problems. The results demonstrate how the competitiveness of the regional container seaport cluster can be boosted by an interport-based extended gateway system with adequate customs facilities and improved railway connections.
Keywords
port-hinterland container logistics interport customs extended gateway total generalized logistic cost mathematical programmingNotes
Acknowledgements
This research was supported by the Institute for Service Industry Research (IRAT, Naples), which is part of the National Research Council of Italy (CNR). An earlier version of this article was presented at the 2010 IAME Conference in Lisbon. An extended version was also previously submitted to the 2010 ITF/OECD Young Researcher Award on the theme ‘Transport and Innovation’, and was included in the final short list of best papers. The author is grateful to Professor Sten Thore (IC2 Institute, University of Texas at Austin) for his contribution to the definition of the interport model and also to four anonymous referees for suggestions for improving this manuscript. The content of the article reflects the views of the author who is responsible for the facts and the accuracy of information presented herein.
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