An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model

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. Key words: Interval Type-2 Fuzzy Logic, Multi-echelon supply chain modelling, Genetic Algorithms

• Type: Conference
• Year: 2009
• Where: SGAI
• Authors: Simon Miller, Robert John
• Keywords: Artificial Intelligence, Interval Type-2, SGAI 2009, Supply Chain, Type-2 Fuzzy Logic