Patent application number | Description | Published |
20100010917 | AUTO-ADJUSTING ORDER CONFIGURATION RULES USING PARTS SUPPLY - Embodiments of the present invention address deficiencies of the art in respect to commercial order processing and provide a novel and non-obvious method, computer system and computer program product for facilitating selection of configurations using supply data. In one embodiment of the invention, a method for facilitating configuration selection when ordering computer equipment is provided. The method includes reading a plurality of configuration rules that define constituent parts that are presented to a user for selection when ordering the end product. The method further includes reading supply data for the constituent parts, interpreting the supply data based on a set of user-definable meta rules, and modifying the plurality of configuration rules in accordance with the interpretations of the supply data. The method further includes receiving a request from the user to order the end product and providing the user with information regarding constituent parts that comprise the end product, according to the plurality of configuration rules. | 01-14-2010 |
20100057531 | Discovering Rarely-Planned Parts using Order Proposal Data - Discovering Rarely-Planned Parts using Order Proposal Data Discovering rarely-planned parts using order proposal data in a manufacturing/assembly environment. Requests for rarely-planned parts are detected by analyzing data from order proposals, providing early warning to the manufacturer prior to receiving an order that uses the parts and allowing the manufacturer to perform advance planning, ordering, and/or scheduling for the parts. The early warnings may also pertain to resources which may be associated with the parts, including testing, documentation, and so forth for supporting use of the parts in products. User-specified rules (or other conditions/constraints) may be used for defining which order proposals to analyze and/or the type of analysis to be performed. | 03-04-2010 |
20100095265 | Application-Aware Recording and Replay - In one illustrative embodiment, a computer-implemented method for application-aware recording and replay of changes is provided. The computer implemented method executes an application in a source system to form a first domain context, and generates recorded information objects from the application in the first domain context. The computer-implemented method selects a target system having a second domain context, and replays the recorded information objects on the target system to form new information objects in the second domain context. The new information objects are returned to a requester. | 04-15-2010 |
20110196957 | Real-Time Policy Visualization by Configuration Item to Demonstrate Real-Time and Historical Interaction of Policies - Multiple policy engines may be integrated with a change and configuration change database to enable coordination of multiple policies by an embodiment comprising: a data center having a plurality of configuration items and connected to a network; a database connected to the network; a plurality of policy engines connected to the network; wherein each of the plurality of policy engines is configured to apply one or more policies to the data center in accordance with an awareness of all configuration item changes made by all other policy engines connected to the network; wherein the awareness comprises a plurality of relationships, each relationship being between a policy data and a configuration item. | 08-11-2011 |
20110282820 | DYNAMIC BACKJUMPING IN CONSTRAINT SATISFACTION PROBLEM SOLVING - A method of performing constraint satisfaction problem (CSP) solving. The method comprises evaluating the nodes of a CSP tree for a TRUE or FALSE state according to a script, wherein the tree models a CSP problem and the script associates rules and corresponding actions with each tree node. During a step of evaluating a specific node, there is dynamically computed a backjump pointer according to a specific rule associated with the specific node, wherein the value of the computed backjump pointer identifies an ancestor node of the tree. Upon a failure to evaluate the node to a TRUE state, the evaluation is restarted at the ancestor node identified by the backjump pointer. | 11-17-2011 |
20130173340 | Product Offering Analytics - Embodiments of the invention relate to supply chain recommendations in real-time. A filter model and a compliance model are provided to relate product proposal data with product order data, and to apply a measurement to the relationship in real-time. This applied measurement is a factor that is employed with respect to supply chain changes. Specifically, the measurement provides a measured correlation that is determinative of recommendations for changes to an associated supply chain. | 07-04-2013 |
20130173341 | Product Offering Analytics - Embodiments of the invention relate to supply chain recommendations in real-time. A filter model and a compliance model are provided to relate product proposal data with product order data, and to apply a measurement to the relationship in real-time. This applied measurement is a factor that is employed with respect to supply chain changes. Specifically, the measurement provides a measured correlation that is determinative of recommendations for changes to an associated supply chain. | 07-04-2013 |
20140068546 | Automated Deployment of a Configured System into a Computing Environment - Automatically deploying a configured system into a computing environment (such as a cloud computing environment) for execution therein comprises obtaining a configured architecture model describing the configured system, and iteratively evaluating the model to deploy pre-built components for the system and to create and enable a development environment in the computing environment for development of custom-built components needed for the system according to the model. The automated deployment processing further comprises automatically configuring the system; determining a proper installation sequence; allocating resources in the target environment; and installing the required tools and other software that will be needed for execution once the components of the system are deployed. Component metadata is used during the deployment, enabling automated consideration of various factors such as whether component dependencies, resource requirements, and compatibility issues are met. | 03-06-2014 |
20140068551 | Configuring Assembly of a System using Supplied Architectural Artifacts - The configuration of a system is programmatically determined. More particularly, these determinations are made using architecture artifacts that describe requirements of the system (which may be comprised of software, hardware, services, or some combination thereof), where these requirements are iteratively compared to characteristics of available components. A percentage of match is preferably computed, thus allowing for complete matches as well as partial matches. A weighting factor may be applied to attributes, effectively prioritizing attributes in view of their relative importance in the assembled system. When more than one component is a candidate for meeting a particular requirement, user input may be obtained to select one of the candidates. One or more attributes (such as cost information) of each candidate, including how well that candidate matched requirements, may be included for each candidate presented for user selection. The model may be updated and re-evaluated iteratively. | 03-06-2014 |