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The paper presents problems of technical product preparation tasks aimed at product selection and redesign for particular application supported by AI methods. The identification of customer needs was discussed, as well as the issues of product decomposition were presented. The QFD method was suggested to be applied as the product and process data integration tool, where the engineering characteristic of a product was combined with its trade characteristic. In the industrial product characteristic, the delivery time, which can be fixed with the use of graph based scheduling method, is particularly important. The paper shows that thanks to the application of KBS methods in production preparation it is possible to support decision making connected with product selection for particular use.

Application of Knowledge Based Systems in Technical Preparation of Machine Parts Production