Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.

Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.

Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.

Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.

Abstract: An inspection station identifies irregularities of surfaces of an object and a finishing station corrects irregularities identified. The inspection station includes a plurality of cameras configured to detect the irregularities under a light having a wavelength of ? about 380 nm to ? about 740 nm. The finishing station includes at least one robot, and the robot includes a light source configured to emit light having a wavelength of ? about 380 nm to ? about 740 nm, a camera, and an abrasive tool for correcting detected irregularities of the surfaces of the object.

Abstract: A device for measuring a pressure of a vehicle closure member includes a pressure sensitive tip, a base, a plurality of electrical conductors, and a neck. The pressure sensitive tip is configured to output an electronic signal that corresponds to a pressure at the pressure sensitive tip. The electrical conductors electrically couple the pressure sensitive tip to the base. The neck includes an inner layer and an outer layer. The inner layer is disposed about the electrical conductors. The outer layer is disposed about the inner layer. The neck is flexible along a length of the neck.

Abstract: A device for measuring a pressure of a vehicle closure member includes a pressure sensitive tip, a base, a plurality of electrical conductors, and a neck. The pressure sensitive tip is configured to output an electronic signal that corresponds to a pressure at the pressure sensitive tip. The electrical conductors electrically couple the pressure sensitive tip to the base. The neck includes an inner layer and an outer layer. The inner layer is disposed about the electrical conductors. The outer layer is disposed about the inner layer. The neck is flexible along a length of the neck.