Interval type-2 fuzzy modelling and simulated annealing for real-world inventory management

Authors:
Simon Miller;Mario Gongora;Robert John
Affiliations:
Horizon Digital Economy Research/Intelligent Modelling and Analysis, University of Nottingham, Nottingham, UK;Centre for Computational Intelligence, De Montfort University, Leicester, UK;Centre for Computational Intelligence, De Montfort University, Leicester, UK
Venue:
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Year:
2011

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Abstract

The modelling of real-world complex systems is an area of ongoing interest for the research community. Real-world systems present a variety of challenges not least of which is the problem of uncertainty inherent in their operation. In this research the problem of inventory management was chosen. The goal was to discover a suitable configuration for a Simulated Annealing search with a fuzzy inventory management problem. A hybrid of a series of Simulated Annealing configurations and an Interval Type-2 Fuzzy Logic model were used to identify suitable inventory plans for a large-scale real-world problem supplied by collaborators on a Technology Strategy Board research project (ref: H0254E).