Abstract: An approach is provided in which the approach maps first parts included in a first system to second parts included in a second system. The approach then utilizes functioning first parts returns data, which indicates an amount of parts included in the first system that have been returned and are functioning, to forecast an amount of functioning parts corresponding to the second system to be returned. As such, the approach generates a functioning second parts returns forecast based upon the amount of functioning second parts that are forecast to be returned.

Abstract: An approach is provided in which the approach maps first parts included in a first system to second parts included in a second system. The approach then utilizes functioning first parts returns data, which indicates an amount of parts included in the first system that have been returned and are functioning, to forecast an amount of functioning parts corresponding to the second system to be returned. As such, the approach generates a functioning second parts returns forecast based upon the amount of functioning second parts that are forecast to be returned.

Abstract: Method and system for implementing an adaptive investing methodology. An asset allocation is determined for each of a plurality of periods of a model duration that optimize an objective function. The asset allocations identify for each of the periods how much of the investment account to invest in one or more asset classes. The objective function subtracts a value of a shortfall risk function from an expected value of an amount of income to be generated by an annuity purchased at the end of the model duration with funds in the investment account at the end of the model duration. The asset allocations are associated with values of a plurality of investor variables. The values of the plurality of investor variables and their associated asset allocations may be stored in one or more wealth tables and used to look up asset allocations for one or more investors.

Abstract: Method and system for implementing an adaptive investing methodology. An asset allocation is determined for each of a plurality of periods of a model duration that optimize an objective function. The asset allocations identify for each of the periods how much of the investment account to invest in one or more asset classes. The objective function subtracts a value of a shortfall risk function from an expected value of an amount of income to be generated by an annuity purchased at the end of the model duration with funds in the investment account at the end of the model duration. The asset allocations are associated with values of a plurality of investor variables. The values of the plurality of investor variables and their associated asset allocations may be stored in one or more wealth tables and used to look up asset allocations for one or more investors.

Abstract: A drive assembly for a vehicle door is provided. The drive assembly includes a motor having a driving member. The drive assembly further includes a housing having a shaft rotatably received therein. The drive assembly further includes an input member being rotatably received upon the shaft. The input member is operatively associated with the driving member. The drive assembly further includes a rotor fixedly secured to the shaft. The drive assembly further includes first and second Hall effect sensor modules mounted to the housing in a facing spaced relationship with respect to the plurality of teeth of the rotor that generate first and second signals, respectively. The first and second signals have a quadrature relationship with respect to one another and indicate a rotational direction of the rotor when the plurality of teeth are rotating past the first and second Hall effect sensor modules.

Abstract: A magnetic rotational position sensor that employs a single magnet mounted on a rotating turret that rotates on a housing that is fixedly mounted about a fixed ball stud. The turret is arranged to rotate around the ball stud in a first plane. A magnetic field orientation sensor is mounted to the housing, such that the magnet rotates along an arc tangent to the Hall effect sensor. The ball of the ball stud forms one half of a universal joint, the other half being formed by a shaft termination that is mounted to rotate with the turret, and also mounted for rotation in a second plane perpendicular to the first plane of the turret.

Abstract: A magnetic rotational position sensor that employs a single magnet mounted on a rotating turret that rotates on a housing that is fixedly mounted about a fixed ball stud. The turret is arranged to rotate around the ball stud in a first plane. A magnetic field orientation sensor is mounted to the housing, such that the magnet rotates along an arc tangent to the Hall effect sensor. The ball of the ball stud forms one half of a universal joint, the other half being formed by a shaft termination that is mounted to rotate with the turret, and also mounted for rotation in a second plane perpendicular to the first plane of the turret.

Abstract: A drive assembly for a vehicle door is provided. The drive assembly includes a motor having a driving member. The drive assembly further includes a housing having a shaft rotatably received therein. The drive assembly further includes an input member being rotatably received upon the shaft. The input member is operatively associated with the driving member. The drive assembly further includes a rotor fixedly secured to the shaft. The drive assembly further includes first and second Hall effect sensor modules mounted to the housing in a facing spaced relationship with respect to the plurality of teeth of the rotor that generate first and second signals, respectively. The first and second signals have a quadrature relationship with respect to one another and indicate a rotational direction of the rotor when the plurality of teeth are rotating past the first and second Hall effect sensor modules.

Abstract: An economic supply optimization system is provided whereby an optimal machine dismantling configuration of a machine supply is determined to meet a parts demand at a lowest cost. The parts supply is calculated and it is determined what portions of the demand cannot be met from the machine supply and what portions of the demand it is not economically justifiable to meet from the machine supply. A parts supply is then determined from the machine supply. The remaining parts demand is matched to the parts supply to create a list of parts covered by the parts supply and a list of parts not covered by the parts supply, if there are any. The optimal dismantling configuration of the machine supply is calculated for the covered parts list and an optimal harvesting configuration is calculated for the not-covered parts list.

Abstract: Two sensor modules that each contain two Hall effect sensors are positioned with respect to each other and with respect to a circuit board in a gear tooth sensor assembly. The sensor modules are arranged rotated in the plane of a positioning surface 120° with respect to each other, and tilted toward each other 15°. Sensor leads are bent at an angle of 98.64° such that the leads on both sensors pass perpendicularly through holes in a single circuit board tilted at an angle of 4.30° away from a plane tangent to the gear at a point halfway between the sensors. The sensor package is formed by a plastic mounting bracket arranged to position the sensor modules with respect to each other and the circuit board. The first two angles are selected, and the second two angles are determined so that the sensors are inserted perpendicular to the circuit board.

Abstract: An economic supply optimization system is provided whereby an optimal machine dismantling configuration of a machine supply is determined to meet a parts demand at a lowest cost. The parts supply is calculated and it is determined what portions of the demand cannot be met from the machine supply and what portions of the demand it is not economically justifiable to meet from the machine supply. A parts supply is then determined from the machine supply. The remaining parts demand is matched to the parts supply to create a list of parts covered by the parts supply and a list of parts not covered by the parts supply, if there are any. The optimal dismantling configuration of the machine supply is calculated for the covered parts list and an optimal harvesting configuration is calculated for the not-covered parts list.