Abstract: A computer implemented method for consolidating at least one key indicator of a virtual object including, for a predefined configuration of the virtual object (OBJ), receiving a description of at least one key indicator of the virtual object, receiving a set of attributes of the virtual object, receiving a data model for indexation of said virtual object, receiving a set of rules to convert the attributes of the virtual object into the data model for indexation, applying the set of rules to convert said attributes into the data model for indexation, transforming, in an index, the data model for indexation into a directed acyclic graph, and consolidating, in a software component which is distinct from said index, said key indicator based on an expansion of the directed acyclic graph.

Abstract: A computer implemented method for consolidating at least one key indicator of a virtual object receiving a description of at least one key indicator of the virtual object, receiving a set of attributes (ATT) of the virtual object, receiving a data model (DM) for indexation of said virtual object, receiving a set of rules (RUL) to convert the attributes of the virtual object (OBJ) into the data model (DM) for indexation, applying the set of rules (RUL) to convert said attributes into the data model (DM) for indexation, transforming the data model (DM) for indexation into a directed acyclic graph, and consolidating said key indicator based on an expansion of the directed acyclic graph.

Abstract: A computer-implemented method estimates a mass distribution of a physical product comprising a plurality of product parts. The method: a) creates a data structure comprising, for each part, data representing position and orientation of the part, its mass of the part, preferably its tolerance associated to each mass of the part, and its geometry in voxel format; b) decomposes a digital model of the physical product into a plurality of parallel slices (SL1); c) for each slice, uses the data structure for identifying a set of product parts of the data structure overlapping with the slice and determining a respective overlap rate; and d) attributes to each slice a mass value corresponding to a sum of the masses of all product parts overlapping with the slice, weighted by the respective overlap rates. A computer program product, non-transitory computer-readable data-storage medium, a computer system and a Computer Aided Design (CAD) Systems carry out such a method.

Abstract: A process updates a status of relation between objects in a system of computer-aided design, for subsequent analysis of status of relation. The process identifies a set of data of a group of objects, preferably a pair of objects; a method of computation of relations between objects; and an expected relation of executing the method identified using the set. Next the process executes the method using the set of data to compute a relation. A comparison step compares the expected relation with the computed relation. The process updates a status of the expected relation based on a result of the comparing step.

Abstract: A process updates a status of relation between objects in a system of computer-aided design, for subsequent analysis of status of relation. The process identifies a set of data of a group of objects, preferably a pair of objects; a method of computation of relations between objects; and an expected relation of executing the method identified using the set. Next the process executes the method using the set of data to compute a relation. A comparison step compares the expected relation with the computed relation. The process updates a status of the expected relation based on a result of the comparing step.