Advertisement

Multicriteria Decision Support in Designing Transport Systems

  • Marianna JacynaEmail author
  • Mariusz Wasiak
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 531)

Abstract

Paper presents selected aspects of multicriteria decision making in transport. One of the significant problems of modern transport systems is proper assessment of selection of transport system equipment to performed tasks. This assessment is difficult due to the complexity of issues. On the one hand it results from technical limitations, financial and ecological constraints, and public interest, but on the other hand various points of view of individual participants of transportation process trying to maximize their individual advantage must be taken into account. As a result the examination and evaluation of transport systems requires multi-criteria decision-making models. These models allow taking into account a number of contradictory points of view and lead to the identification of a “best compromise”. Assessment of transport organization alternatives was performed by Super Choose application. The application implements ranking method and MAJA method to support decision-making.

Keywords

Decision support Vector criteria function Multi-faceted issue 

References

  1. 1.
    Ambroziak, T., Jacyna, M., Wasiak, M.: The logistic services in a hierarchical distribution system. In: Goulias, K. (ed.) Transport Science and Technology, Chap. 30, pp. 383–393. Elsevier (2006)Google Scholar
  2. 2.
    Ameljańczyk, A.: Optymalizacja wielokryterialna. Wydawnictwo Wojskowej Akademii Technicznej, Warsaw (1986)Google Scholar
  3. 3.
    Chiang, W.C., Russell, R.A.: Simulated annealing metaheuristics for the vehicle routing problem with time windows. Eur. J. Oper. Res. 63, 3–27 (1996)zbMATHGoogle Scholar
  4. 4.
    Elmaghraby, S.E., Kamburowski, J.: The analysis of activity networks under generalized precedence relations. Manag. Sci. 38(9), 1245–1263 (1992)CrossRefzbMATHGoogle Scholar
  5. 5.
    Galas, Z., Nykowski, I., Żółkiewski, Z.: Programowanie wielokryterialne. Polskie Wydawnictwo Ekonomiczne, Warsaw (1985)Google Scholar
  6. 6.
    Gambardella, L.M.E., Taillard, G.: A multiple ant colony system for vehicle routing problems with time windows. In: Corne, D., Dorigo, M.F. (eds.) New Ideas in Optimization. McGraw-Hill, London (1999)Google Scholar
  7. 7.
    Garcia, B.L., Potvin, J.Y., Rousseau, J.M.: A parallel implementation of the tabu search heuristic for vehicle routing problems with time window constraints. Comput. Opera. Res. 21, 1025–1033 (1994)CrossRefzbMATHGoogle Scholar
  8. 8.
    Gaskell, T.J.: Basis for vehicle fleet scheduling. Oper. Res. Int. J. 18, 281–295 (1967)Google Scholar
  9. 9.
    Gutenbaum, J.: Modelowanie matematyczne systemów. PWN, Warsaw-Lodz (1978)Google Scholar
  10. 10.
    Jacyna, M.: Modelowanie i ocena systemów transportowych. Oficyna Wydawnicza Politechniki Warszawskiej, Warsaw (2009)Google Scholar
  11. 11.
    Jacyna, M.: Multicriteria Evaluation of Traffic Flow Distribution in a Transport Corridor. Railway Engineering, London (2001)Google Scholar
  12. 12.
    Jacyna, M.: Some aspects of multicriteria evaluation of traffic flow distribution in a multimodal transport corridor. Arch. Transp. 10(1–2), 37–52 (1998)Google Scholar
  13. 13.
    Jacyna, M.: The modeling of the external cost influence on the modal split in the transport network. In: IEEE Computer Society Order Number P3331 BMS Part Number CFP08369-PRT (1989)Google Scholar
  14. 14.
    Jacyna, M., Wasiak, M.: The some aspects of multiobjective evaluation to choose the option of transport infrastructure modernization. In: Proceedings of 10th International Conference on Applications of Advanced Technologies in Transportation 2008, pp. 7533–7543. Curran Associates Inc., Red Hook (2010)Google Scholar
  15. 15.
    Jacyna, M., Wasiak, M.: Zastosowanie wielokryterialnej oceny do wyboru wariantu modernizacji elementów infrastruktury kolejowej. Problemy Kolejnictwa 146, 27–35 (2008)Google Scholar
  16. 16.
    Pyza, D.: Optimization of transport in distribution systems with restrictions on delivery times. Arch. Transp. 21(3–4), 125–147 (2009). Polish Academy of Sciences Committee of TransportGoogle Scholar
  17. 17.
    Roy, B.: Decision-aid and decision making. Eur. J. Oper. Res. 45, 324–331 (1990)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Steuer, R.: An interactive multiple objective linear programming procedure. TIMS stud. Manag. Sci. 6, 225–239 (1977)Google Scholar
  19. 19.
    Thangiah, S.R.: Vehicle routing with time windows, rusing genetic algorithms. In: Chambers, L. (ed.) Application Handbook of Genetic Algorithms, vol. 2. CRC Press, BocaRaton (1995)Google Scholar
  20. 20.
    Trzaskalik, T.: Wielokryterialne wspomaganie decyzji. Metody i zastosowania, Polskie Wydawnictwo Ekonomiczne, Warsaw (2014)Google Scholar
  21. 21.
    Wasiak, M.: Wybrane aspekty optymalizacji wielokryterialnej. In: Kacprzyk, J., Budziński, R. (eds.) Badania operacyjne i systemowe 2006. Metody i techniki, Akademicka Oficyna Wydawnicza EXIT, pp. 109–116, Warsaw (2006)Google Scholar
  22. 22.
    Vincke, P.: Multicriteria decision-aid. John Wiley & Sons, Chichester (1992)zbMATHGoogle Scholar
  23. 23.
    Zeleny, M.: Multiple Criteria Decision Making. McGraw-Hill, New York (1982)zbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Transport, Department of Logistics and Transport SystemsWarsaw University of TechnologyWarsawPoland

Personalised recommendations