Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.

Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and one or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and one or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.

Abstract: A system is disclosed for simultaneous computation of optimal order point and optimal order quantity. The system includes one or more memory units and on ore more processing units, collectively configured to receive initial inputs, initialize a first, at least second and final locations and the initial inputs and compute a first baseline inventory performance of the first level. The system is further configured to compute at least a second inventory performance of the at least second level and perform optimization iterations by simultaneously determining a change in inventory performance for the first and the at least second level when the re-order point (R) is incremented by a specified R increment value and when the re-order quantity is incremented by a specified Q increment value. The system is further configured to report the reorder point and reorder quantity for the first, the at least second, and the final location.