An Interval Type-2 Fuzzy Distribution Network

Planning resources for a supply chain is a major fac- tor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribution network. It is believed that the additional degree of uncertainty provided by Inter- val Type-2 Fuzzy Logic will allow for better representation of the un- certainty 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 fol- lows, along with conclusions and details of intended further work. Keywords— Distribution model, Evolutionary Computing, Inter- val Type-2 Fuzzy Logic, Resource Planning, Supply Chain Manage- ment