Inventory optimisation with an interval type-2 fuzzy model.

Date
2010-07
Authors
Miller, Simon
Gongora, Mario Augusto
John, Robert, 1955-
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
IEEE
Peer reviewed
Abstract
The planning of resources within a supply chain can prove to be a deciding factor in the success or failure of an operation. This research continues the authors' previous work using an extended Interval Type-2 Fuzzy Logic supply chain model, with an Evolutionary Algorithm to search for good resource plans. A set of enhanced experiments is conducted to validate our novel approach with optimal configurations, and determine an appropriate Evolutionary Algorithm set up for the given problem.
Description
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Citation
Miller, S., Gongora, M. and John, R. (2010) Inventory optimisation with an interval type-2 fuzzy model. Proceedings of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010) 18-23 July, Barcelona, Article no. 5584774
Research Institute
Institute of Artificial Intelligence (IAI)