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 method of adjusting a panel on a vehicle includes determining positions of mounting sites on a body frame in relation to 2-way and 4-way master locator holes and calculating a position of an inner perimeter of a panel opening in the body frame in relation to the body frame mounting sites. Positions of mounting sites on the panel in relation to 2-way and 4-way locator pins on a fixture the panel is mounted to are also determined and a position of an outer perimeter of the panel in relation to the panel mounting sites is calculated. The panel is mounted to the body frame and a calculated position of the outer perimeter of the panel in relation to the inner perimeter of the panel opening is displayed to a fitter in real time who uses the calculated position to adjust the panel.

Abstract: A method of adjusting a panel on a vehicle includes determining positions of mounting sites on a body frame in relation to 2-way and 4-way master locator holes and calculating a position of an inner perimeter of a panel opening in the body frame in relation to the body frame mounting sites. Positions of mounting sites on the panel in relation to 2-way and 4-way locator pins on a fixture the panel is mounted to are also determined and a position of an outer perimeter of the panel in relation to the panel mounting sites is calculated. The panel is mounted to the body frame and a calculated position of the outer perimeter of the panel in relation to the inner perimeter of the panel opening is displayed to a fitter in real time who uses the calculated position to adjust the panel.