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Interval type-2 fuzzy modelling and stochastic search for real-world inventory management

Miller, Simon; Gongora, Mario; Garibaldi, Jon; John, Robert

Authors

Simon Miller

Mario Gongora

Jon Garibaldi

Robert John



Abstract

Real-world systems present a variety of challenges to the modeller, not least of which is the problem of uncertainty inherent in their operation. In this research, an interval type-2 fuzzy model is applied to a real-world problem, the goal being to discover a suitable optimisation configuration to enable a search for an inventory plan using the model. To this end, a series of simulated annealing configurations and the interval type-2 fuzzy model were used to search for appropriate inventory plans for a large-scale real-world problem. A further set of tests were conducted in which the performance of the interval type-2 fuzzy model was compared with a corresponding type-1 fuzzy model. In these tests the results were inconclusive, though, as will be discussed there are many ways in which type-2 fuzzy logic can be exploited to demonstrate its advantages over a type-1 approach. To conclude, in this research we have shown that a combination of interval type-2 fuzzy logic and simulated annealing is a logical choice for inventory management modelling and inventory plan search, and propose that the benefits that a type-2 model offers, can make it preferable to a corresponding type-1 system.

Journal Article Type Article
Publication Date Jan 1, 2012
Journal Soft Computing
Print ISSN 1432-7643
Electronic ISSN 1432-7643
Publisher Humana Press
Peer Reviewed Peer Reviewed
Volume 16
Issue 8
APA6 Citation Miller, S., Gongora, M., Garibaldi, J., & John, R. (2012). Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Computing, 16(8), doi:10.1007/s00500-012-0848-y
DOI https://doi.org/10.1007/s00500-012-0848-y
Keywords Interval type-2 fuzzy logic; Real-world inventory management; Simulated annealing
Publisher URL http://dx.doi.org/10.1007/s00500-012-0848-y
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-012-0848-y

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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