New content behind the concept intelligent engineering

Intelligence in engineering systems is expected to gain much more attention during the next years than presently because making interdependent decisions along contextual chains by an engineer increasingly requires reproduction of earlier decisions by other engineers. While a single decision on an object parameter or parameter group in a product structure may be influenced by several humans, humans are strictly responsible for their decisions. The only way is development of transparent intelligent engineering procedures those are capable for representation of humans. The above features of engineering tasks do not allow application of closed procedures from the conventional knowledge engineering and computational intelligence. The authors are engaged in application of knowledge based methods in intelligent engineering. This paper starts with purposeful characterizing of intelligent engineering features in current industrial product modeling systems. Following this, it discusses possibilities for adding intelligence to current product modeling processes. An earlier proposed method by the authors in modeling of human intent driven engineering objectives and contextual connections as entities to assist decisions is applied. Finally, the authors propose a possible way to capture human thinking process element in order to establish intelligent content in product models. The starting point of the proposed modeling is current modeling functionality of industrial product lifecycle management systems widely applied in aircraft, car, house appliance and other industries.