Fuzzy Logic as a Decision-Making Tool for Transport Request Selection

In the competitive transport industry, carriers strive to deliver quality service while meeting the diverse needs of their customers and their own unique characteristics. Few rail freight operators use the tools available to help them make the right decisions about what is profitable and what is not. Evaluating individual transport requests and making the right choices can lead to better service and improved profitability. To efficiently evaluate individual transport requests and make informed decisions, this paper proposes the use of fuzzy logic can be used. The paper considers 6 real transport requests and evaluates them using fuzzy logic.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2024.01.015
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146524000152
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2024 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Pálková, Adriana
  • Mašek, Jaroslav
• Conference:
  • Horizons of Railway Transport (HRT 2023)
  • Location: Žilina , Slovakia
  • Date: 2023-10-2 to 2023-10-3
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 116-122
• Serial:
  • Transportation Research Procedia
  • Volume: 77
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Customer service; Decision making; Freight transportation; Fuzzy logic; Quality of service; Railroads
• Subject Areas: Data and Information Technology; Economics; Freight Transportation; Planning and Forecasting; Railroads;

Filing Info

• Accession Number: 01920061
• Record Type: Publication
• Files: TRIS
• Created Date: May 29 2024 5:13PM