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Evaluating the impact of smart technologies on harbor’s logistics via BPMN modeling and simulation

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Abstract

A smart Information and Communication Technology (ICT) enables a synchronized interplay of different key factors, aligning infrastructures, consumers, and governmental policy-making needs. In the harbor’s logistics context, smart ICT has been driving a multi-year wave of growth. Although there is a standalone value in the technological innovation of a task, the impact of a new smart technology is unknown without quantitative analysis methods on the end-to-end process. In this paper, we first present a review of the smart ICT for marine container terminals, and then we propose to evaluate the impact of such smart ICT via business process model and notation (BPMN) modeling and simulation. The proposed approach is discussed in a real-world modeling and simulation analysis, made on a pilot terminal of the Port of Leghorn (Italy).

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Notes

  1. http://www.libelium.com/products/waspmote.

  2. www.visual-paradigm.com/features/process-simulation/.

  3. The Tuscan Port Community System is a web-services based information hub for the procedures of import and export of goods. It enables the efficient exchange of relevant logistics information and ensures the smooth flow of shipments from cargo origin to destination.

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Acknowledgments

Work carried out in the framework of the Italian PRIN Project "Eguaglianza Nei Diritti Fondamentali Nella Crisi Dello Stato E Delle Finanze Pubbliche: Una Proposta Per Un Nuovo Modello Di Coesione Sociale Con Specifico Riguardo Alla Liberalizzazione E Regolazione Dei Trasporti", activity "Sistema Di Monitoraggio A Distan- za Ed Automatizzato Delle Merci E Di Eventuali Persone Preposte Alla Sorveglianza Delle Stesse".

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Authors and Affiliations

  1. Department of Information Engineering, University of Pisa, Largo L. Lazzarino 1, 56122, Pisa, Italy

    Mario G. C. A. Cimino & Gigliola Vaglini

  2. Institute of Information Science and Technologies, National Research Council, via G. Moruzzi 1, 56124, Pisa, Italy

    Filippo Palumbo, Erina Ferro, Nedo Celandroni & Davide La Rosa

  3. Department of Computer Science, University of Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy

    Filippo Palumbo

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  1. Mario G. C. A. Cimino
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Correspondence to Mario G. C. A. Cimino.

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Cimino, M.G.C.A., Palumbo, F., Vaglini, G. et al. Evaluating the impact of smart technologies on harbor’s logistics via BPMN modeling and simulation. Inf Technol Manag 18, 223–239 (2017). https://doi.org/10.1007/s10799-016-0266-4

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