The traditional quality control procedures are adopted to reduce the variation in the process during the manufacturing stage. Modern quality control techniques are utilized as quality engineering in the design stage. In this paper a statistical quality control technique based on Taguchi method has been developed. The objective is to determine the optimum combination of the process characteristics that reduce performance variation while keeping the process average close to its target value. As well, various aspects of off line quality control procedures are discussed in this paper. Off-line quality control refers to quality and cost control activities at the product and process design stage in the product development cycle. The proposed technique used statistical application methods for improving product design. It was applied on a practical case in one of the existing factories at the 10th of Ramadan City. It was found that the amount of improvement in shrinkage reduction was as much as 63%, as well, the cost of the product is also reduced by 37%.