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

fYear

2012

fDate

1-5 Oct. 2012

Firstpage

1

Lastpage

10

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En

Conference_Location

Medellin

Print_ISBN

978-1-4673-0794-9

Type

conf

DOI

10.1109/CLEI.2012.6427144

Filename

6427144