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Improving baltic sea services : a quantitative planning approach

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Języki publikacji
EN
Abstrakty
EN
Reduction of inventories and optimum delivery of input goods are important parameters for efficient production processes. Therefore transport processes are a vital part of industrial production, and their features are important determining factors for production planning. Especially in the Baltic Sea region, short sea roro shipping connections are an important part of transport chains but also constitute a bottleneck through their restricted schedules. The attractivity of a short-sea roro shipping connection is determined through several factors. Among these are shipping prices, transport time, frequency but also factors that cannot be influenced by the ships operator, such as obligatory driver breaks for truck drivers, which use the shipping service, the geographical position of ports and the geographical position of logistics hotspots which determine the main-transport flows. A roro shipping service that is part of an optimal connection between two logistics hotspots would have a clear advantage on the market. The paper shall present a model that allows for the analysis of complete intermodal RoRo-shipping chains in regard to their attractivity for their end-customers. The model cumulates different features of a transport chain into one indicator. Thereby allowing the optimization of RoRo shipping connection towards customer needs.
Rocznik
Strony
307--316
Opis fizyczny
Bibliogr. 9 poz.
Twórcy
autor
  • Research Group Transport Logistics, Technical University of Applied Sciences Wildau, 15745 Wildau, Germany,, Michalk@th-wildau.de
Bibliografia
  • 1. Beute M., Bouffioux Ch., Maeyer J. De, Santamaria G., Vandresse V., Vandaele E., (2003), Amulti criteria analysis of stated preferences among freight transport alternatives. Jyväskylä
  • 2. Bücker R., (1998), Mathematik für Wirtschaftswissenschaftler. Oldenbourg.
  • 3. Bühler G., (2005), Verkehrsmittelwahl im Güterverkehr. Mannheim.
  • 4. Geiger Ch., (2011), „Carbon Footprint - Abbau von Hemmnissen zur Emissionsminimi- erung". Not published as of June 2011.
  • 5. Leyn U., (2010):,Verkehrsmittelwahl im Güterverkehr - Entscheidungsverhalten zugunsten des kombinierten Verkehrs auf Basis der Fallstudiendaten des Verbundprojekts SPIN-ALP. Hochschultagung Verkehrswesen 2010. Berlin
  • 6. Ludvigsen J., Grue B., (2006), Decision factors underlying transport mode choice in European freight transport. Oslo.
  • 7. Michalk P., Meimbresse B., (2012), Development of Intermodal Train Concepts as a method for Sustainable Regional Development. In: Sustainable Transport - New Trends and Business Practices. Heidelberg.
  • 8. Michalk P., Meimbresse B., (2010), Basic Description of Corridor functionality - Potentials of Logistic Trnaspor systems. Scandria WP 5.21. Wildau.
  • 9. REGULATION (EC) No 561/2006 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 15 March 2006 on the harmonisation of certain social legislation relating to road transport and amending Council Regulations (EEC) No 3821/85 and (EC)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP2-0020-0057
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