Solving transport logistics problems in a virtual enterprise through artificial intelligence methods

The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have built a simulation model for component transportation and delivery for manufactured products using the Simulink graphical environment for building models.

• Record URL:
  https://doi.org/10.20858/tp.2017.12.2.4
• Record URL:
  http://transportproblems.polsl.pl/pl/Archiwum/2017/zeszyt2/2017t12z2_04.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18960596
• Supplemental Notes:
  • © 2017 Vitaliy Pavlenko et al.
• Authors:
  • Vitaliy, Pavlenko
  • Pavlenko, Tetiana
  • Morozova, Olga
  • Kuznetsova, Anna
  • Voropai, Olena
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 31-42
• Serial:
  • Transport Problems
  • Volume: 12
  • Issue Number: 2
  • Publisher: Silesian University of Technology
  • ISSN: 1896-0596
  • EISSN: 2300-861X
  • Serial URL: http://transportproblems.polsl.pl/en/default.aspx
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Artificial intelligence; Components; Delivery service; Fuzzy logic; Logistics; Optimization
• Uncontrolled Terms: Business enterprises
• Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01646994
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 1 2017 2:52PM