Finding the Logistics Organization that Fits Using Fuzzy Logic

Authors

  • M. Miskolczi
  • M. Gábriel

Keywords:

organizational growth models, fuzzy logic, logistics organization

Abstract

In this article we outline a method that helps companies to find theappropriate logistics organization and to set the appropriate requirementsfor their logistics function. The method uses organizational growth modelsto determine in what state of development the companies are, which makeseasier to find an organizational solution that fits. Determining the growthstage can be difficult, since growth models use soft factors and do not giveobjective diagnostic tools. These problems can be eliminated by usingfuzzy methods.

Downloads

Download data is not yet available.

Downloads

Published

2008-03-15

How to Cite

Miskolczi, M., & Gábriel, M. (2008). Finding the Logistics Organization that Fits Using Fuzzy Logic. Acta Technica Jaurinensis, 1(2), pp. 343–354. Retrieved from https://acta.sze.hu/index.php/acta/article/view/90

Issue

Section

Transportation Science, Logistics and Agricultural Engineering