FUZZY OPTIMIZATION INVENTORY MODEL USING KUHN-TUCKER TECHNIQUE
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.7, No. 2)Publication Date: 2018-02-28
Authors : Dr.Rexlin Jeyakumari S. Jerline Zita S.; Merline Laura S.;
Page : 546-552
Keywords : Fuzzy production inventory; production inventory; Function principle; Ranking function; Kuhn-Tucker method.;
Abstract
This paper preambles two fuzzy production inventory models under fuzzy parameters for crisp production quantity or for fuzzy production quantity. The fuzzy total production inventory costs of these models along with the fuzzy arithmetical operations of function principle are proposed. The main purpose is to find optimal solutions of these models by using ranking function method for defuzzifying the fuzzy total production inventory cost and by using Kuhn-Tucker method for solving inequality constraint problem. In addition, when the fuzzy parameters [Fuzzy inventory cost, fuzzy demand, fuzzy setup cost, fuzzy demand rate, and fuzzy production rate] are all crisp real numbers. The optimal solutions of our proposed models can be specified to meet classical production inventory models.
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Last modified: 2018-02-28 20:29:35