JEYAKUMARI ANALYZATION ON FUZZY INVENTORY MODEL WITH SHORTAGES UTILIZING KUHN-TUCKER TECHNIQUE

J. A. Theo, S. M. Laura, S. J. Zita and S. Rexlin

  DOI:
  https://doi.org/10.37418/amsj.9.4.69

Full Text

In this paper, our own selves dissolve a fuzzy stockpile portrait, fuzzy budget asset can be fuzzified by ordering cost, worn out cost, inport cost using quadruple fuzzy numbers. The optimization theory deals with the development of models and methods to find optimal solutions to specified mathematical problems. Kuhn-Tucker conditions are necessary conditions for a solution in non-linear programming for the first order in mathematics. Kuhn-Tucker conditions are necessary under certain specific circumstances as well as sufficient conditions. The use of these mathematical methods of optimization in economics is also introduced in this paper. Here Graded mean integration representation manner is utilized for defuzzification to assess total cost. Numerical illustration is exemplified.


Keywords:
Defuzzification, Economic order quantity, Graded mean integration representation classification, Kuhn-Tucker method, fuzzy numbers.