Requested behavior driven control of product definition

Product lifecycle management (PLM) systems have been gained application at leading areas of industry. By now, they integrate all engineering activities. Product definition in these systems relies upon advanced object modeling and virtual prototyping. However, large models with thousands of strongly related objects brought new problem of thinking and seeing in extensive information structures. New methods are demanded mainly to establish better organized knowledge based parallel interactions by high number of engineers. Fortunately, recent developments in product modeling introduced rules, reactions, function structures, and other active knowledge carriers in product models in order to establish situation and event based product definition. These techniques serve storage and repeated application of engineering knowledge and offer good connection for enhanced knowledge based communication between model generation processes and group work environment in the future. The authors of this paper established a new methodology for enhanced knowledge based connection of human interactions with current product modeling. They utilized their former results and realized coordinated interacting human intent based and product behavior driven adaptive product object definition. The proposed new control of product definition is supported by extended context definition. In this paper, the authors introduce the new product definition methodology and discuss key issues including principle of their Coordinated Request based Product Modeling (CRPM), connection of CRPM to the currently prevailing Classical Product Modeling (CPM), new representations in product behavior related structures, and a new method for the definition of coordinated contextual structure of objectives (SOB) and behaviors (SBE). The proposed modeling is considered as API communicated extension to the CPM modeling in current industrial PLM systems.