Centre for Discrete and Applicable Mathematics

 CDAM Research Report, LSE-CDAM-98-07

May 1998

Applicability of Fuzzy Logic and Neural Networks to Logistics Control

Oleg Samukhin


The paper examines the issue of logistics control and applicability of fuzzy logic and neural networks to control of logistics performance. The author describes the elements of logistics control system, indicates the importance of performance measurement and areas of control where fuzzy logic and neural networks can improve the performance of controlling function. Illustrations and tables are used to enhance the argument.

Key words: Logistics, control, systems, neural networks, fuzzy logic, performance parameters, Decision Support Systems

A compressed (gzip) PostScript file (88 kB) with the full contents of this report can be downloaded by clicking here.

Alternatively, if you like a free hard copy of this report, please send the number of this report, LSE-CDAM-98-07, together with your name and postal address to:
CDAM Research Reports Series
Centre for Discrete and Applicable Mathematics
London School of Economics
Houghton Street
London WC2A 2AE, U.K.
Phone: +44(0)-171-955 7732.
Fax: +44(0)-171-955 6877.
Email: info@maths.lse.ac.uk

Introduction to the CDAM Research Report Series.
CDAM Homepage.

Copyright © London School of Economics & Political Science 2005

Last changed: Wed 9 Feb 2005
For comments go to: http://www.maths.lse.ac.uk/webmaster.html