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An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model

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Research and Development in Intelligent Systems XXVI

Abstract

Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic model of a multiple echelon supply chain. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in resource planning models. First, the subject of Supply Chain Management is introduced, then some background is given on related work using Type-1 Fuzzy Logic. A description of the Interval Type-2 Fuzzy model is given, and a test scenario detailed. A Genetic Algorithm uses the model to search for a near-optimal plan for the scenario. A discussion of the results follows, along with conclusions and details of intended further work.

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Authors and Affiliations

  1. Centre for Computational Intelligence, De Montfort University, Leicester, UK

    Simon Miller & Robert John

Authors
  1. Simon Miller
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  2. Robert John
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Correspondence to Simon Miller .

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Editors and Affiliations

  1. Dept. Computer Science and, University of Portsmouth, Lion Terrace, Portsmouth, PO1 3HE, United Kingdom

    Max Bramer

  2. Stratum Management Ltd., Southbrook Place 11, Micheldever, Hants., SO21 3DE, United Kingdom

    Richard Ellis

  3. School of Computing &, University of Greenwich, Park Row 30, London, SE10 9LS, United Kingdom

    Miltos Petridis

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Miller, S., John, R. (2010). An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model. In: Bramer, M., Ellis, R., Petridis, M. (eds) Research and Development in Intelligent Systems XXVI. Springer, London. https://doi.org/10.1007/978-1-84882-983-1_32

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  • DOI: https://doi.org/10.1007/978-1-84882-983-1_32

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-982-4

  • Online ISBN: 978-1-84882-983-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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