A GA-based data mining approach to process improvement of fluid dispensing for electronic packaging

Determination of the initial process parameters for fluid dispensing process is a highly skilled task and is usually based on skilled engineers´ intuitive sense acquired through long-term experience rather than on a knowledge-based approach. In the face of global competition, the current trial-and -error practice is inadequate. In this paper, a rule-based system is developed to aid the determination of initial process parameters for fluid dispensing process by the genetic algorithm. Based on the rule based system, a set of ranges of process parameters can be recommended with a pre-defined quality requirement of microchip encapsulation. The preliminary validation test of the rule-based system has indicated that it can determine a set of ranges of initial process parameters for fluid dispensing process effectively, from which quality requirement can be achieved without totally relying on engineers´ experience.