Computational intelligence applied to competitiveness evaluation of supply chains: an adaptive neuro-fuzzy model

Authors:
Suelene de Jesus do Carmo Corrêa;Antônio Morais da Silveira
Affiliations:
Institute of Exact and Natural Sciences, Federal University of Pará, PA, Brazil;Institute of Exact and Natural Sciences, Federal University of Pará, PA, Brazil
Venue:
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Year:
2012

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Abstract

Technological advances and economic turmoil are some of the factors leading to increased competition in a global scale, which led companies, industries and countries to be concerned to maintain a leadership position in the market for competitive advantage. One way to achieve this goal is to make use of computer technologies to facilitate and accelerate decision-making in these environments of uncertainty. This work aims to show the use of a hybrid approach of Artificial Neural Networks and Fuzzy Logic, an Adaptive Neuro-Fuzzy system, to supply chain competitiveness evaluation. To validate the method is used a case of study based on the supply chain of broilers in Brazil. The results were satisfactory considering the low errors obtained in the validation tests.