Abstract: A system is provided with a memory device and a processor. The memory device is adapted to store data representative of a multi-valued decision diagram (MDD) specifying a buildable space of all possible configurations of a vehicle. The processor is in communication with the memory and is programmed to identify an invalid configuration, and to generate a restricted buildable space, including to determine an edit distance of each complete path indicative of a number of features to change the invalid configuration of that path to one of the valid configurations, identify a minimum of the edit distances, and remove configurations having edit distances larger than the minimum. The processor is further programmed to identify at least one feature to change the invalid configuration to at least one valid configuration based on the restricted buildable space; and to generate output indicative of the at least one feature to change.

Abstract: A system is provided with a memory device adapted to store at least one multi-valued decision diagram (MDD) that specifies a total buildable space and a processor that is programmed to identify a partial configuration; generate a restricted buildable space of the total buildable space; and identify families to complete. The processor is further programmed to, for each family to complete in priority order, add any available standard features for the family to a possible set, if the possible set is empty, add a domain space of the family to the possible set, select the highest priority feature of the possible set as a Default feature state, and generate a further restricted buildable space of the total buildable space based on the Default feature state. The processor is also further programmed to generate a complete configuration including features having Default feature states for each family to complete.

Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups. The method or system generating one or more global representations of the product definition by interacting the one or more positive logic rule groups to produce a result that defines the relationship between the interacted positive logic rule groups and storing the results that are determined as being valid.

Abstract: A system is provided with a memory device and a processor. The memory device is adapted to store data representative of a multi-valued decision diagram (MDD) specifying a buildable space of all possible valid configurations of a vehicle. The processor is in communication with the memory and is programmed to identify an invalid configuration, and to generate a restricted buildable space, including to determine an edit distance of each complete path indicative of a number of features to change the invalid configuration of that path to one of the valid configurations, identify a minimum of the edit distances, and remove configurations having edit distances larger than the minimum. The processor is further programmed to identify at least one feature to change the invalid configuration to at least one valid configuration based on the restricted buildable space; and to generate output indicative of the at least one feature to change.

Abstract: A system is provided with a memory device adapted to store at least one multi-valued decision diagram (MDD) that specifies a total buildable space and a processor that is programmed to identify a partial configuration; generate a restricted buildable space of the total buildable space; and identify families to complete. The processor is further programmed to, for each family to complete in priority order, add any available standard features for the family to a possible set, if the possible set is empty, add a domain space of the family to the possible set, select the highest priority feature of the possible set as a Default feature state, and generate a further restricted buildable space of the total buildable space based on the Default feature state. The processor is also further programmed to generate a complete configuration including features having Default feature states for each family to complete.

Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups. The method or system generating one or more global representations of the product definition by interacting the one or more positive logic rule groups to produce a result that defines the relationship between the interacted positive logic rule groups and storing the results that are determined as being valid.

Abstract: One or more embodiments include a computer-implemented method or system for generating part volumes necessary to assemble all vehicles of a vehicle product line for a predetermined time period. The method or system being configured to receive a product definition representing valid configurations for a product. The products may include feature families with mutually exclusive features. The method or system also receives a feature forecast rate or sales forecast rate that may be an aggregated demand. The method or system may further receive a bill of material for the product. The method or system may generate a forecasted order that is a quantity of each configuration by interacting the feature forecast rate and the product definition. The method or system may further generate a part volume necessary to assemble the product by interacting the quantity of each configuration with a product bill of material.

Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups.

Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups. The method or system generating one or more global representations of the product definition by interacting the one or more positive logic rule groups to produce a result that defines the relationship between the interacted positive logic rule groups and storing the results that are determined as being valid.