Building of an inventory Control under fuzzy demand and lead time with the practical application

Abstract

The main concern here is it build a mathematical model using linear programming misty figures fuzzy function trigonometric tracking three products (oil, White, jet fuel, grease) and for quarterly and one year (2014),was addressing fuzzy using the method of integral representation of the average gradient and then solving the specimen through direct compensation for the cost of production and the actual inventory in the goal of the specimen proposed and to find the total cost and compare it with the cost of winning the college from the specimen function after being admitted as a model linear programming in the ready program (WIN QSB) it turned out that the total cost of the program and this matsay him a company to reduce costs,or at least strike a balance between the cost of inventory and keep it in exchange for the cost of disabling the plant or the cost of the loss by the loss of material in the case of demand and therefore profits loss.                                              

    Key words: concept of inventory, fuzzy sets, Graded Mean Integration Representation Method .