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 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.

Abstract: What is described is a method and system for development of interactive user interfaces. The interfaces provide visualization environment and the opportunity for creating visual applications with minimal coding. A scene is selected from a scene catalogue and a visualization object is selected and displayed on the scene. A data source is selected from backend data. A parameter from the content of the data source is connected to a property of the visualization object to create a script to modify the property. The script is customized and the processed visualization object is displayed on a GUI.

Abstract: A method and apparatus for iterative price zone analysis includes steps of generating auxiliary data for a geographic region that includes a plurality of retail locations, the regions being dividable into a plurality of geographic zones. The method and apparatus further includes modeling of sales information for the retail locations and thereby generate demand model information based on the set zones. The method and apparatus further includes providing the demand model information and the retail locations having the demand model information associated therewith to a price zoning display of the geographic region. Additionally the auxiliary data is provided for display relative to the model information and retail locations, where the display allows for the iterative selection of various factors and recalculations of the modeling information on the visual display.

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 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.