Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the network at which allocating the service part provides the greatest gain in system availability per item cost. In an embodiment, the calculations are based, at least in part on machine-specific information. In one embodiment, inventory position is determined based, at least in part, on a unique identifier associated with a service part.

Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the network at which allocating the service part provides the greatest gain in system availability per item cost. In an embodiment, the calculations are based, at least in part on machine-specific information. In one embodiment, inventory position is determined based, at least in part, on a unique identifier associated with a service part.

Abstract: Embodiments include a system for forecasting demand data for new products. The system and method may include generating a phase-in group profile based on similar products. The phase-in group profile may have multiple demand profiles for low, medium and high demand variations. These demand profiles may be applied to new products in the same phase-in group to generate a forecast profile.

Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a multi-echelon network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the multi-echelon network at which allocating the service part provides the greatest gain in system availability per item cost. In one embodiment, the calculations take into consideration violations of incremental optimal allocation. In an embodiment, the calculations take into consideration violations of convexity.

Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a multi-echelon network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the multi-echelon network at which allocating the service part provides the greatest gain in system availability per item cost. In one embodiment, the calculations take into consideration violations of incremental optimal allocation. In an embodiment, the calculations take into consideration violations of convexity.

Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a multi-echelon network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the multi-echelon network at which allocating the service part provides the greatest gain in system availability per item cost. In one embodiment, the calculations take into consideration violations of incremental optimal allocation. In an embodiment, the calculations take into consideration violations of convexity.