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The main goals of quality management in all industries are customer satisfaction by delivery of defect-free products, the radical reduction of defect rates and also of quality costs in the production. Controlled technological processes are the most important way to reach these goals. These principles are standard in mechanical engineering and are in use with great success. The properties in electronics production are different from the properties in mechanical engineering. The processes are dificult and many environmental influences act on these processes. These influences are very strong, especially in production of small batches of assemblies (high mix -low volume). Some processes can be uncontrolled and the defect rates go up. What can we do with these processes? We need tools to compare the quality behaviors of different technological processes caused by different electronic products. What is the correct inspection strategy -no inspection or 100% inspection or Statistical Process Control (SPC) ? To answer these question we have developed easy to use quality cost models. The quality costs are the "measurement system" to compare different inspection strategies with each other. The costs are calculated by the use of mathematical models -the quality cost models. We presented the "linear" cost models at ISSE I999 in Dresden. These models contain also the influence of pseudo defects and defect flow at the inspection processes. The reason to use these quality cost models is to get a decision aid in test process organization (100% inspection, SPC or no inspection afer a considered technological process). In the case of SPC it is possible to get an adapted sampling plan.The investigations were made in cooperation with the electronics production of a big intemational enterprise. The basic quality cost models and the extension for SPC will be explained in our presentation. The implementation, the successful use and the economical results of using these models will be presented.

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