Abstract: An apparatus, system and method for an excess and obsoletion application and engine resident in a supply chain management system. Included are at least one rule set; at least one database of distinct customers, wherein the at least one database has relationally accessible in accordance with ones of the distinct customer entries in the at least one database at least the manufactured product for the distinct customer correspondent; a full parts and materials list correspondent to the manufacturing of the manufactured product; definitions from the contract for each of the manufactured products and each of the distinct customer regarding when ones of the parts and the materials become excess or obsolete; and a graphical user interface (GUI) suitable to provide access to details of at least the manufactured product, the full parts and materials list, and the definitions, such that a claim for excess or obsoletion may be made through the GUI.

Abstract: Various embodiments are generally directed to techniques for generating synthetic data with simulated handwriting, such as for training or evaluating a computer vision process, for instance. Some embodiments are particularly directed to creating simulated handwriting based on input text. For example, attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. The randomized glyphs may then be used to replace glyphs in an input text to generate simulated handwriting for the input text. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. In some such embodiments, noise may be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. In one embodiment, the synthetic data may simulate a handwritten check that is used to train or evaluate an optical character recognition process.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Various embodiments are generally directed to techniques for generating synthetic data with simulated handwriting, such as for training or evaluating a computer vision process, for instance. Some embodiments are particularly directed to creating simulated handwriting based on input text. For example, attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. The randomized glyphs may then be used to replace glyphs in an input text to generate simulated handwriting for the input text. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. In some such embodiments, noise may be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. In one embodiment, the synthetic data may simulate a handwritten check that is used to train or evaluate an optical character recognition process.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: An apparatus, system and method for an excess and obsoletion application and engine resident in a supply chain management system. Included are at least one rule set; at least one database of distinct customers, wherein the at least one database has relationally accessible in accordance with ones of the distinct customer entries in the at least one database at least the manufactured product for the distinct customer correspondent; a full parts and materials list correspondent to the manufacturing of the manufactured product; definitions from the contract for each of the manufactured products and each of the distinct customer regarding when ones of the parts and the materials become excess or obsolete; and a graphical user interface (GUI) suitable to provide access to details of at least the manufactured product, the full parts and materials list, and the definitions, such that a claim for excess or obsoletion may be made through the GUI.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.