Fuzzy modeling approach to the rail freight car inventory problem

Techniques to improve freight car fleet use are of considerable interest to the railroad industry. In this paper, the authors present a fuzzy inventory control approach applied to the sizing of empty cars on a rail network. They address the problem of deciding the optimal inventory level and the optimal ordering quantity for a rail freight car fleet system in which demand and travel time are uncertain variables represented as triangular fuzzy numbers. Based on the fuzzy economic order quantity (EOQ) formula, a modified fuzzy EOQ model is set up and the optimal policy is developed using the signed distance method to defuzzify the fuzzy total cost. Computational results made for the Serbian rail network case verify the proposed model as well as the efficiency of the approach.

• Record URL:
  • https://doi.org/10.1080/03081060.2013.851509
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis
• Authors:
  • Milenkovic, Milos
  • Bojovic, Nebojsa
• Publication Date: 2014-2

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 119-137
• Serial:
  • Transportation Planning and Technology
  • Volume: 37
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Case studies; Freight cars; Freight trains; Fuzzy systems; Inventory; Optimization
• Geographic Terms: Serbia
• Subject Areas: Freight Transportation; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01523044
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 24 2014 11:45AM