Adaptive neuro-fuzzy model for productive chains assessment: A study of the broiler productive chain in Brazil

Abstract

Changes in technology and global economy generated increased competition, leading preoccupation to organizations to obtain and maintain competitive advantages in order to get market leadership. To solve this problem it is sought the help of computer technologies, which can promote facilities and speed up in decision making in face of market uncertainties. This paper aims to show the application of an Adaptive Neuro-Fuzzy system for the evaluation of competitiveness of production chains. To validate the method, is used as case of study the supply chain of broilers in Brazil. The validation tests showed satisfactory results, in view of the low errors achieved during comparison with other technique.