Data · dataset · 2018
A model-based Decision Support System for multiple container terminals hub management
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Description
Abstract
Paper aims To develop a model-based Decision Support System (DSS) that allows identifying the best strategy of the inter-/intra-terminal flows of the containers in order to increasing the performance of the hub under economic and environmental perspective. Originality The adoption of a dry port can effectively solve the congestion problem of a terminal only if an integrated sustainable solution (dry port location and container strategy storage) is identified.
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Research method The model is based on a heuristic computational algorithm for non-linear programming. Main findings The application of DSS to a full-scale numerical case show the model capabilities in identifying the optimal logistic strategies ensuring a low CF and in optimizing the cost due to transport activities. Implications for theory and practice It is possible to identify different strategies allowing to obtain an eco-friendly solution reducing, at same time, the costs for a given number of containers to be handled.
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- Repository landing page scielo.figshare.com/articles/A_model-based_Decision_Support_System_for_multiple_co… ↗
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- DOI doi.org/10.6084/m9.figshare.6992063.v1 ↗
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Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
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- IsSupplementTo 10.1590/0103-6513.20170074 doi.org/10.1590/0103-6513.20170074 ↗
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.6992063.v1 | 12 d ago | JSON v1 |
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