Finding the Logistics Organization that Fits Using Fuzzy Logic
Keywords:
organizational growth models, fuzzy logic, logistics organizationAbstract
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
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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