The article discusses a new way to design manufacturing systems using predictive fuzzy models. The researchers aimed to create a cost-effective design by estimating and controlling manufacturing costs. They developed a model that combines engineering factors and cost management to predict and reduce costs. By comparing the target design cost with the actual cost, they validated the model using a fuzzy statistical method. The findings show that this approach can help in creating affordable designs that align with manufacturing capabilities in terms of cost and price.