An Integrated Product Quality Control Model Using Fuzzy Demand

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Bushra Sabeeh Kadhim, Batool Atiyah Khalaf


as many external factors like security, weather, competition affect product`s order of Baghdad Company for the production of soft drinks what resulting in a high uncertainty in the estimation of the order, As well as the company depends on personal experience only to  estimate the order  without  the use of scientific reasoning methods of estimation.

For this reason, the researcher used the techniques and methods of fuzzy logic represented by IF-THEN and trigonometric functions for order forecasting, what will enable the company plan to reduce the gap between the production power and order.

The research reached a number of conclusions, the most important of which is that the difference between the output of the fuzzy processing and the fuzzy input (historical order`s values) Is dependent on the value of the factors witch affecting the orders and the greatest impact of factors affecting the order whether negative or positive is the security factor, the climate factor and then the competitive factor also The researcher recommended that the company rely on modern scientific methods to predict future order and not rely on personal experience.

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