Fuzzy Modelling of the Logistics System

This paper deals with modeling of logistics systems and their components by fuzzy reasoning and fuzzy logic. A fuzzy approach is applied to production logistics systems focusing on the control of stocks. The use of sophisticated software and the selection of the proper series of rules and membership functions are critical in providing a reasonable solution with the fuzzy approach. Real data is necessary for creating neural networks and providing neural training. Under these conditions, the fuzzy approach is found to be a useful approach for modeling and controlling very complex logistics systems and processes.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18543332
• Authors:
  • Usenik, Janez
  • Usenik, Meta
  • Vidicek, Matija
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 15-18
• Serial:
  • Logistics & Sustainable Transport
  • Issue Number: 0
  • Publisher: De Gruyter Poland
  • ISSN: 2232-4968
  • Serial URL: https://sciendo.com/journal/JLST
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Fuzzy logic; Inventory control; Logistics; Mathematical models; Neural networks; Production
• Uncontrolled Terms: Fuzzy reasoning
• Subject Areas: Freight Transportation; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01023399
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 28 2006 8:10AM