Abstract: A method and system for classifying components in a product data management (PDM) environment is disclosed. A method includes obtaining data files having information associated with a component to be classified in a PDM database. Each data file includes different types of information associated with the component. A series of predictions indicating a probability of the component belonging to one or more categories is computed based on each type of information associated with the component using one or more artificial intelligence models. An overall probability of the component belonging to the one or more categories is computed based on each of the series of predictions. The component is classified in at least one category of the one or more categories based on the computed probability of the component belonging to the one or more categories. The category associated with the classified component is output on a graphical user interface.

Abstract: A method for operating a service oriented architecture (SOA) based wire harness system, a corresponding system, and a machine readable medium. The method includes storing wire harness data in a wire harness data model in a wire harness data processing system, interactively communicating the wire harness data with an electronic computer aided design (ECAD) system and a mechanical computer aided design (MCAD) system through the SOA interface, and storing the wire harness data in the wire harness data model.

Abstract: A method for operating a service oriented architecture (SOA) based wire harness system, a corresponding system, and a machine readable medium. The method includes storing wire harness data in a wire harness data model in a wire harness data processing system, interactively communicating the wire harness data with an electronic computer aided design (ECAD) system and a mechanical computer aided design (MCAD) system through the SOA interface, and storing the wire harness data in the wire harness data model.