Advertisement

Decision Support System to Improve Delivery of Large and Heavy Goods by Road Transport

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 844)

Abstract

The paper is devoted to special features of the large and heavy goods (oversized and overweight loads) transportation by road transport. To organize a delivery of large and heavy goods, two main problems have to be solved: selection of the optimal road vehicle as well as selection of the best route. Since there are a lot of factors have to be considered, it is necessary to use information and communication technologies. The concept of Decision Support System (DSS) together its modules’ interaction is presented. Software complexes, which are based on the developed algorithm to distribute the vehicle fleet units to the suitable orders, and the set of models, which allow predicting consequences of the proposed solutions, are the intelligent heart of our DSS.

Keywords

Oversized loads Overweight loads Heavy goods Large goods Combination vehicles Route planning Delivery schedule 

References

  1. 1.
  2. 2.
    Dondo, R., Cerdá, J.: The heterogeneous vehicle routing and truck scheduling problem in a multi-door cross-dock system. Comput. Chem. Eng. 76, 42–62 (2015).  https://doi.org/10.1016/j.tre.2016.01.011CrossRefGoogle Scholar
  3. 3.
    Oliveira, L.S., Saramago, S.F.P.: Multiobjective optimization techniques applied to engineering problems. J. Braz. Soc. Mech. Sci. Eng. (2010). http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678–58782010000100012
  4. 4.
    European Commission, Mobility and Transport, Road Safety, Heavy goods vehicles (2015). https://ec.europa.eu/transport/road_safety/specialist/knowledge/vehicle/safety_design_needs/heavy_goods_vehicles_en
  5. 5.
    Government services NiDirect, Towing trailers with medium sized vehicles between 3.5 and 7.5 tonnes (2015). https://www.nidirect.gov.uk/articles/towing-trailers-medium-sized-vehicles-between-35-and-75-tonnes
  6. 6.
    The United States Department of Transportation, FHWA Vehicle Types (2015). https://www.fhwa.dot.gov/policyinformation/
  7. 7.
    Rules for the goods transportation by road vehicles (in the version of the Decree of the Government of the Russian Federation of December 27, 2014, No. 1590) [In Russian: Пpaвилa пepeвoзoк гpyзoв aвтoмoбильным тpaнcпopтoм (в peдaкции пocтaнoвлeния Пpaвитeльcтвa Poccийcкoй Фeдepaции oт 27 дeкaбpя 2014 г. N 1590)]Google Scholar
  8. 8.
    Instruction on transportation of oversized and heavy cargoes by motor transport on roads of the Russian Federation (approved by the Ministry of Transport of the Russian Federation on May 27, 1996, registered with the Ministry of Justice of the Russian Federation on August 8, 1996, No. 1146) [In Russian: Инcтpyкция пo пepeвoзкe кpyпнoгaбapитныx и тяжeлoвecныx гpyзoв aвтoмoбильным тpaнcпopтoм пo дopoгaм Poccийcкoй Фeдepaции (yтвepждeнa Mинтpaнcoм PФ 27 мaя 1996 г., зapeгиcтpиpoвaнa в Mинюcтe PФ 8 aвгycтa 1996 г. № 1146)]Google Scholar
  9. 9.
    Petru, J., Dolezel, J., Krivda, V.: Assessment of the transport routes of oversized and excessive loads in relation to the passage through roundabout. In: IOP Conference Series: Materials Science and Engineering, vol. 236, no. 1, p. 012033 (2017)Google Scholar
  10. 10.
    Dayan, S., Yoo, S., Chou, C.-S., Nichols, A.P.: GIS routing and analysis of oversize and overweight truck. In: 20th ITS World Congress, Tokyo, 109334 (2013)Google Scholar
  11. 11.
    Waheed, A., Adeli, H.: A knowledge-based system for evaluation of superload permit applications. Expert Syst. Appl. 18(1), 51–58 (2000)CrossRefGoogle Scholar
  12. 12.
    Jiang, G., Feng, D., Zhu, W.: A large and heavy cargo transport system designed for small and medium ship maintenance and repair. J. Ship Prod. Des. 33(3), 212–220 (2017)CrossRefGoogle Scholar
  13. 13.
    Ryczyński, J., Smal, T.: Proposition of a model for risk assessment in the transport of the oversized loads in the army. In: 2017 International Conference on Military Technologies (ICMT), Brno, Czech Republic, 31 May–2 June 2017 (2017). http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7988749&tag=1
  14. 14.
    Bowersox, D.J., Closs, D.J., Cooper, M.B.: Supply Chain Logistics Management. McGraw-Hill Higher Education, New York (2013)Google Scholar
  15. 15.
    Makarova, I., Khabibullin, R., Shubenkova, K., Pashkevich, A.: Logistical costs minimization for delivery of shot lots by using logistical information systems. Procedia Eng. 178, 330–339 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Krakow University of TechnologyKrakówPoland
  2. 2.Kazan Federal UniversityNaberezhnye ChelnyRussian Federation

Personalised recommendations