Optimising resource plans using an Interval Type-2 Fuzzy model
Simon Miller, Mario Góngora, Viara Popova · 2010
Appropriate planning of resources is of critical importance to supply chain operation, often determining its success or failure. In this research we take an Interval Type-2 Fuzzy Logic supply chain model, and use a series of evolutionary algorithms to find good solutions. Experiments are conducted with a set of configurations to discover the most suitable for the task. A discussion of the results is given along with considerations for future research.