Developing performance indicators for a logistics model for vessel platooning

Hilda Meersman, Eleni Moschouli, Christa Sys, Eddy Van der Voorde, Thierry Vanelslander, Edwin van Hassel, Benjamin Friedhoff, Robert Hekkenberg, Katja Hoyer, Matthias Tenzer

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific


The H2020 Novimar project introduces the innovative concept of vessel trains (VT) that resembles the concept of truck platooning and aims "to adjust the waterborne transportation such that it can make optimal use of the existing short-sea and inland waterways and vessels (…)'. The triple bottom line performance of the concept is assessed and compared to the performance of the current transport system. This paper focuses on the economic performance and sets the foundations for its measurement by 1) describing the current situation of inland navigation, shortsea shipping and sea-river transport; 2) analysing the railway and road operations as the main competitors so as to take lessons; 3) presenting a review of the data sources available with respect to cargo flows and collecting the current cargo flows that will be used to set up the Origin-Destination (OD) matrix of the Antwerp case, 4) determining the geographical scope of a second case study area; 5) conducting a literature review of supply chain performance indicators (PIs) and 6) identifying the key PIs. The results will be input to the Novimar transport system model based on which the new VT concept will be evaluated compared to the current transport system.
Original languageEnglish
Title of host publicationGlobal Maritime Conference (GLOBMAR 2018)
Number of pages10
Publication statusPublished - 2018
EventGLOBMAR 2018: Global Maritime Conference - Sopot, Poland
Duration: 19 Apr 201820 Apr 2018


ConferenceGLOBMAR 2018: Global Maritime Conference


  • vessel train
  • economic performance
  • inland navigation
  • shortsea shipping
  • sea-river transport
  • performance indicators
  • transport system model


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