Title :
Adaptive neuro-fuzzy model for productive chains assessment: A study of the broiler productive chain in Brazil
Author :
de Jesus do Carmo Correa, S. ; da Silveira, A.M.
Author_Institution :
Inst. of Exact & Natural Sci., Fed. Univ. of Para, Belem, 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.
Keywords :
decision making; fuzzy neural nets; marketing; production engineering computing; supply chain management; supply chains; Brazil; adaptive neurofuzzy model; adaptive neurofuzzy system; broiler productive chain assessment; computer technology; decision making; global economy; market leadership; market uncertainty; production chains; supply chain; Adaptation models; Computational modeling; MATLAB; Mathematical model; RNA; Sun; Market; competitiveness assessment; neuro-Fuzzy; productive chains;
Conference_Titel :
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location :
Medellin
Print_ISBN :
978-1-4673-0794-9
DOI :
10.1109/CLEI.2012.6427144
