Abstract: With the development of economic globalization, the method of the product modular combination has become a key technology to rapidly design the product satisfying customer requirements. As an important basic equipment manufacturing product, horizontal CNC lathe is considered as the research object, and a CBR-based and customer requirements-driven intelligent modular combination method for CNC lathe is put forward. In the method, the house of quality in the stage of product planning and its optimization model for horizontal CNC lathe are built to realize the acquisition and conversion of customer requirements. In the optimization model, the maximum correlation of product comprehensive performances and customer technological requirements is taken as the optimal goal. The fuzzy analogy preferred ratio algorithm is used to carry out the searching of the case. The grey relational analysis algorithm is adopted to evaluate the similar cases so that the horizontal CNC lathe with the maximum customer’s overall satisfaction is efficiently and intelligently found. Taking HTC series CNC lathe as an example, the proposed method is proved to be feasible and effective.

Key words: case-based reasoning;modular combination;CNC lathe;case evaluation