Model maturity state evaluation system

A method of identifying new capabilities for a product, the method comprising:

• determining, by a computer system, potential maturity states for model a model comprising a dynamic representation of a performance of the product in an operational environment of the product using criteria content in the model for a phase in a lifecycle of the product for maturity states and confidence levels of predictions made using the model for the maturity states;
• determining, by the computer system, a highest potential maturity state in the potential maturity states in which the model meets a set of criteria for content in the model for the product for the highest potential maturity state and a model confidence level for the model that meets a confidence level for the highest potential maturity state, wherein the highest potential maturity state is a maturity state for the model;
• determining a risk of performing an action in a phase of a production of the product responsive to a determination that the model has not fully met a maturity level required for a gate for the phase of production;
• and
• identifying the new capabilities for the product via the computer system using the model responsive to the model meeting the set of criteria for the content in the model for the phase in the lifecycle of the product for the highest potential maturity state and the confidence level of the prediction made using the model for the highest potential maturity state.

A method for using models for performing an operational simulation comprising a dynamic representation of a performance of a product in an operational environment of the product, the method comprising:

• identifying, by a computer system, the models for the product for evaluation;
• determining, by the computer system, highest potential maturity states for the models using a set of criteria for content in the models for a phase in a lifecycle of the product and confidence levels of predictions made using the models, wherein the highest potential maturity states for the models are maturity states for models;
• and
• performing the operational simulation via the computer system using the model responsive to the maturity states for the models determined for the models and the confidence levels of the predictions made using the maturity states for the models determined for the models.

A product management system that comprises:

• a computer system;
• and
• a product manager in the computer system, wherein the product manager is configured to:
• determine a selected maturity state for a model for a product for evaluation;
• determine whether the model meets a set of criteria for content in the model for a phase in a lifecycle of the product for the product for the selected maturity state and a confidence level of a prediction made based upon the model for the selected maturity state;
• determine a risk of a performance an action in a phase of a production of the product responsive to a determination that the model has not fully met a maturity level required for a gate for the phase of production;
• and
• perform, using the model when the model meets the set of criteria for the content in the model for the phase in the lifecycle of the product for the selected maturity state and the confidence level of the prediction made based upon the model for the selected maturity state, an operational simulation comprising a dynamic representation of a performance of the product in an operational environment of the product.

A product management system that comprises:

• a computer system;
• and
• a product manager in the computer system, wherein the product manager is configured to:
• determine potential maturity states for a model for a product based on criteria for content in the model for a phase in a lifecycle of the product for maturity states and confidence levels of a prediction made based on the model for the maturity states;
• determine a highest potential maturity state in the potential maturity states in which the model meets a set of criteria for the highest potential maturity state and a model confidence level for the model that meets a confidence level for the highest potential maturity state, wherein the highest potential maturity state is a maturity state for the model;
• determine a risk of a performance of an action in a phase of a production of the product responsive to a determination that the model has not fully met a maturity level required for a gate for the phase of production;
• and
• perform an operational simulation based on the model based on the maturity state determined for the model and the confidence level of the prediction made based on the model for the maturity state, wherein the operational simulation comprises comprising a dynamic representation of a performance of the product in an operational environment of the product.

A product management system that comprises:

• a computer system;
• and
• a product manager in the computer system, wherein the product manager is configured to:
• identify models for a product for evaluation;
• determine highest potential maturity states for the models based on a criteria for content in the models for a phase in a lifecycle of a product and confidence levels for predictions made based upon the models for the criteria, wherein the highest potential maturity states for the models are maturity states for models;
• determine a risk of a performance of an action in a phase of a production of the product responsive to a determination that the model has not fully met a maturity level required for a gate for the phase of production;
• and
• perform an operational simulation based on the maturity states for models determined for the models and the confidence level of the predictions made using the models for the highest potential maturity states, wherein the operational simulation comprises comprising a dynamic representation of a performance of the product in an operational environment of the product.

A product management system that comprises:

• a manufacturing system;
• a control system;
• and
• a product manager in the control system, wherein the product manager is configured to:
• determine a selected maturity state for a model for a product for evaluation;
• determine whether the model meets a set of criteria for a content in the model for a phase in a lifecycle of the product for the product for the selected maturity state and a confidence level of a prediction made based upon the model for the selected maturity state;
• determine a risk of a performance of an action in a phase of a production of the product responsive to a determination that the model has not fully met a maturity level required for a gate for the phase of production;
• and
• control an operational simulation based on the model when the model meets the set of criteria for the content in the model for the product and the confidence level and the confidence level of the prediction made using the model for the selected maturity state, wherein the operational simulation comprises comprising a dynamic representation of a performance of the product in an operational environment of the product.

A computer program product configured to control a product management system based upon a maturity state of a model for a product, wherein the computer program product comprises:

• a computer-readable storage media;
• and
• a data structure, stored on the computer-readable storage media, that comprises:
• maturity states;
• criteria for a content in the model for a phase in a lifecycle of the product progressively includes more:
• systems in the product, subsystems in the product, and components in product, as a maturity state increases for the maturity states in which the criteria for the content in the model for the product identifies model elements and criteria for the model elements needed for each maturity state in the maturity states;
• confidence levels, of predictions made based upon the model, for the maturity states, wherein a confidence level for the maturity state assures that the model can meet the criteria for the maturity state;
• and
• specially programmed code configured to control an operational simulation based on the model when the model meets the criteria for the content in the model for the product and the confidence level and the confidence level of the prediction made using the model for the maturity state, wherein the operational simulation comprises a dynamic representation of a performance of the product in an operational environment of the product.