PREDICTION IN LOGISTICS USING FUNCTIONS WITH FLEXIBLE STRUCTURE

A mathematical approach relying on the functions of flexible structure (FFS) is proposed for forecasting logistics indices based on the assumption of statistical relationships between two indices. Real or complex conjugate pairs are used to determine the FFS, which then allows the optimal value to be found. In order to determine the accuracy and reliability of a forecasts, direct, indirect, consequential and inverse verification methods are offered. Finally, a combined scheme which compensates the disadvantages of one group of methods by using the advantages of other groups is proposed for obtaining more accurate and reliable forecasts in logistics.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/50924818
• Corporate Authors:

  Vilnius Gediminas Technical University

  Sauletekio AL 11
  Vilnius,   Lithuania  LT-10223
• Authors:
  • Fadina, O
  • Mazura, M
• Publication Date: 2003

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 114-119
• Serial:
  • Transport: Research Journal of Vilnius Gediminas Technical University and Lithuanian Academy of Sciences
  • Volume: 18
  • Issue Number: 3
  • Publisher: Vilnius Gediminas Technical University
  • ISSN: 1648-4142
  • EISSN: 1648-3480

Subject/Index Terms

• TRT Terms: Forecasting; Logistics; Mathematical prediction
• Subject Areas: Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00965084
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Nov 3 2003 12:00AM