Title :
Optimising resource plans using an Interval Type-2 Fuzzy model
Author :
Miller, Simon ; Gongora, Mario ; Popova, Viara
Author_Institution :
Centre for Comput. Intell., De Montfort Univ., Leicester, UK
Abstract :
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.
Keywords :
evolutionary computation; fuzzy set theory; supply chain management; supply chains; evolutionary algorithms; interval type-2 fuzzy model; resource plans optimisation; supply chain operation; Costs; Demand forecasting; Evolutionary computation; Fuzzy logic; Fuzzy sets; Fuzzy systems; Marketing and sales; Resource management; Supply chains; Uncertainty;
Conference_Titel :
Genetic and Evolutionary Fuzzy Systems (GEFS), 2010 4th International Workshop on
Conference_Location :
Mieres
Print_ISBN :
978-1-4244-4621-6
Electronic_ISBN :
978-1-4244-4622-3
DOI :
10.1109/GEFS.2010.5454158
