Quester evaluation for additive manufacturing of a vehicle part

A method of evaluating a measure of appropriateness of additive manufacturing (AM) to manufacture a vehicle part of a vehicle, comprising:

• importing a plurality of datasets from a respective plurality of data sources to a data collection system with a composite dataset including data of the plurality of datasets;
• receiving a user request for the measure of appropriateness of AM to manufacture the vehicle part of the vehicle during a lifecycle of the vehicle;
• interpreting the user request to produce a query executable by a dataset manager system (DMS) managing the data collection system to retrieve data of the composite dataset from the data collection system;
• performing a plurality of assessments using a plurality of quester modules on the data retrieved from the composite dataset the plurality of assessments including a similarity assessment of similarity of the vehicle part with other vehicle parts, an AM adaptability assessment and a part fabrication assessment of technical capability of utilizing AM to manufacture the vehicle part;
• producing the measure of appropriateness using an evaluation of the plurality of assessments, the plurality of assessments producing respective nominal factors, on which appropriateness of AM to manufacture the vehicle part depends, and the measure of appropriateness including a suitability of utilizing AM to manufacture the vehicle part, the suitability indicated by a relevancy index that is a summation of the respective nominal factors from the plurality of assessments;
• producing a graphical user interface;
• displaying a report including at least the measure of appropriateness using the graphical user interface,
• wherein receiving the user request comprises receiving the user request including a classification of the plurality of assessments selected from the group consisting of:
• a first classification for routine assessments indicating a predefined selection of the plurality of assessments, a second classification for conditional assessments indicating a selection of the plurality of assessments based on a condition of the vehicle part, and a third classification for conditional assessments indicating a selection of the plurality of assessments based on an unusual event of the vehicle part, and
• wherein producing the measure of appropriateness comprises producing the measure of appropriateness according to the first classification, the second classification or the third classification in the user request;
• and
• facilitating manufacture of the vehicle part using AM based on the measure of appropriateness.

A computer-readable storage medium for evaluating a measure of appropriateness of additive manufacturing (AM) to manufacture a vehicle part of a vehicle, the computer-readable storage medium being non-transitory and having computer-readable program code stored therein that in response to execution by a processor, causes a computer system to at least:

• import a plurality of datasets from a respective plurality of data sources to a data collection system with a composite dataset including data of the plurality of datasets;
• receive a user request for the measure of appropriateness of AM to manufacture the vehicle part of the vehicle during a lifecycle of the vehicle;
• interpret the user request to produce a query executable by a dataset manager system (DMS) managing the data collection system to retrieve data of the composite dataset from the data collection system;
• perform a plurality of assessments using a plurality of quester modules on the data retrieved from the composite dataset the plurality of assessments including a similarity assessment of similarity of the vehicle part with other vehicle parts, an AM adaptability assessment and a part fabrication assessment of technical capability of utilizing AM to manufacture the vehicle part;
• produce the measure of appropriateness using an evaluation of the plurality of assessments on the data retrieved from the composite dataset the plurality of assessments producing respective nominal factors, on which appropriateness of AM to manufacture the vehicle part depends, and the measure of appropriateness including a suitability of utilizing AM to manufacture the vehicle part, the suitability indicated by a relevancy index that is a summation of the respective nominal factors from the plurality of assessments;
• produce a graphical user interface;
• display a report including at least the measure of appropriateness using the graphical user interface,
• wherein the user request includes a classification of the plurality of assessments selected from the group consisting of:
• a first classification for routine assessments indicating a predefined selection of the plurality of assessments, a second classification for conditional assessments indicating a selection of the plurality of assessments based on a condition of the vehicle part, and a third classification for conditional assessments indicating a selection of the plurality of assessments based on an unusual event of the vehicle part, and
• wherein the computer system is caused to produce the measure of appropriateness according to the first classification, the second classification or the third classification in the user request;
• and
• facilitate manufacture of the vehicle part using AM based on the measure of appropriateness.