Fuzzy logic application for extruders replacement problem

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Edison Conde Perez dos Santos
Fabio Luiz Peres Krykhtine
Carlos Alberto Nunes Cosenza
Armando Celestino Gonçalves Neto


In a scenario of uncertainty and imprecision, before taking the replacement analysis, a manager needs to consider the uncertain reality of a problem. In this scenario, the fuzzy logic makes an excellent option. Therefore, it is necessary to make a decision based on the fuzzy model. This study is based on the comparison of two methodologies used in the problem of asset replacement. The study, thus, was based on a comparison between two extruders for polypropylene yarn bibliopegy, comparing mainly the costs involved in maintaining the equipment.

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BISWAS, P.; PRAMANIK, P. (2011) Application of Fuzzy Ranking Method to Determine the Replacement Time for Fuzzy Replacement Problem. International Journal of Computer Applications, v. 25, n. 11, p. 975-8887 July 2011.

CHIU, C. Y.; PARK, C. S. (1994) Fuzzy cash flow analysis using present worth criterion. The Engineering Economist, v. 39, n. 2, p. 113-138.

ETHEM, T.; MURAT, L. D.; CENGIZ K. (2005) Operating system selection using fuzzy replacement analysis and analytic hierarchy process. Int. J. Production Economics, n. 97, p. 89–117.

HARTMAN J. C. (2004) Multiple asset replacement analysis under variable utilization and stochastic demand, European Journal of Operational Research, n. 159, p. 145–165.

KAUFMANN, A.; GUPTA, M. M. (1988) Fuzzy Mathematical Models in Engineering and Management. Science. Elsevier Science Publishers, B.V.

MURAT, L. D.; CENGIZ, K. (1998) Fuzzy Replacement Analysis, 0-7803-4453-7/IEEE.

WARREN E. H. (1998) On Replacement Models Via a Fuzzy Set Theoretic Framework, Augustine O. E., Senior Member, IEEE, II. IEEE transactions on systems, man, and cybernetics—part c: applications and reviews, v. 28, n. 4, november.

YAGER, R. R. (1981) A procedure for ordering fuzzy subsets of the unit interval. 1981. Information Sciences, n. 24, p. 143-161.

ZADEH, L. A. (1975) The concept of a linguistic variable and its application to approximate reasoning i, ii, iii. Information Sciences, n. 8, p. 199-251; p. 301-357; n. 9, p. 43-80.

ZIMMERMAN, H. J. (1991) Fuzzy Set Theory and Its Applications. Kluwer Academic Press, Boston, MA, second edition.