Patent application number | Description | Published |
20080222129 | INHERITANCE OF ATTRIBUTE VALUES IN RELATIONAL DATABASE QUERIES - Embodiments of the invention provide techniques for processing a database query that allows data values for attributes of a child database record to be inherited from an associated parent record. A hierarchical query function may automatically determine the inheritance of attribute values in queries of hierarchical data. In the case that a query does not retrieve values for all attributes specified in the query, the missing attribute values are determined from higher levels of the hierarchy. | 09-11-2008 |
20080263081 | METHOD, SYSTEM, AND STORAGE MEDIUM FOR PROVIDING A DYNAMIC, MULTI-DIMENSIONAL COMMODITY MODELING PROCESS - An exemplary embodiment of the invention relates to a method, system, and storage medium for providing a dynamic multi-dimensional commodity modeling process. The system includes a data collection component operable for collecting raw data, a dynamic multi-dimensional commodity model component, and a commodity tree generated by the dynamic multi-dimensional commodity model component. The system also includes a closed loop/corrective action component operable for resolving nonconformance issues resulting from analysis of the raw data and commodity tree, and an analytic engine in communication with the data collection component, the multi-dimensional commodity model component, and the closed loop/corrective action component. The analytic engine receives the raw data from the data collection component, receives the commodity tree, performs analytics on the raw data according to rules defined by the commodity tree, and transmits any nonconformance data resulting from performing the analytics to the closed loop/correction action component for resolution of any identified nonconformances. | 10-23-2008 |
20080301212 | REAL TIME UNIVERSAL DATE AND TIME CONVERSION - A method and system makes date-time conversions and complex date-time calculations between dates of different calendaring systems. The conversion method herein allows embedded, real-time conversion in computer applications and systems between multiple calendaring systems. A date of a first date-time format is converted to any date of a second date-time format after a transformation to a temporal reference or epoch date. The conversion method can be embedded into any code space to enable full date-time conversion abilities. The real-time conversion of the conversion method requires no conversion tables and no post-processing manipulation thus eliminating the need for individual programmers to re-create the same date cross reference tables, or post processing algorithms. The conversion method supports conversion between any two date-time formats including the various existing Gregorian conventions. | 12-04-2008 |
20130030862 | TREND-BASED TARGET SETTING FOR PROCESS CONTROL - Determining a suitable target for an entity (such as a product) in a process control environment, based on observed process control data. A preferred embodiment organizes data in a hierarchical structure designed for automating the target-setting process; derives target “yardsticks” for various components based on this data structure; employs techniques to estimate proportions using sample-size-based trimming in conjunction with bias-correction techniques (where appropriate); and derives targets based on combining yardsticks and confidence regions for parameters that characterize component quality | 01-31-2013 |
20130030863 | TREND-BASED TARGET SETTING FOR PROCESS CONTROL - Determining a suitable target for an entity (such as a product) in a process control environment, based on observed process control data. A preferred embodiment organizes data in a hierarchical structure designed for automating the target-setting process; derives target “yardsticks” for various components based on this data structure; employs techniques to estimate proportions using sample-size-based trimming in conjunction with bias-correction techniques (where appropriate); and derives targets based on combining yardsticks and confidence regions for parameters that characterize component quality | 01-31-2013 |
20130041625 | Advanced Statistical Detection of Emerging Trends - Advanced statistical detection of emerging trends in a process is disclosed, based on a Repeated Weighted Geometric Cumulative Sum analysis, which may be combined with time window-based estimation of proportions and related thresholds. Threshold derivation and significance computation is based on parallel simulation runs with power-exponential tail approximations. A battery of tests using the statistical theory of sequential analysis and change-point theory in combination with targets is used to evaluate non-conforming conditions in a process. Trends in fall-out rates are detected based on non-time-to-failure data that corresponds to counts of failures in consecutive time periods, with possibility of delayed input. | 02-14-2013 |
20130041626 | Hybrid Analysis of Emerging Trends for Process Control - An asymmetric approach is used for evaluating process control data, whereby one approach is used for determining entry into the emerging life cycle phase (i.e., presence of a new defect) and a different approach is used for detecting entry into the other life cycle phases such as cresting and recovering. An evidence curve is created from observed instance data for a particular defect, and the slope of this evidence curve is analyzed programmatically by applying one or more tests, in combination with sequential time-reversed estimation, to determine return-to-normal conditions with a desired level of confidence. | 02-14-2013 |
20130041709 | Hybrid Analysis of Emerging Trends for Process Control - An asymmetric approach is used for evaluating process control data, whereby one approach is used for determining entry into the emerging life cycle phase (i.e., presence of a new defect) and a different approach is used for detecting entry into the other life cycle phases such as cresting and recovering. An evidence curve is created from observed instance data for a particular defect, and the slope of this evidence curve is analyzed programmatically by applying one or more tests, in combination with sequential time-reversed estimation, to determine return-to-normal conditions with a desired level of confidence. | 02-14-2013 |
20130041710 | Advanced Statistical Detection of Emerging Trends - Advanced statistical detection of emerging trends in a process is disclosed, based on a Repeated Weighted Geometric Cumulative Sum analysis, which may be combined with time window-based estimation of proportions and related thresholds. Threshold derivation and significance computation is based on parallel simulation runs with power-exponential tail approximations. A battery of tests using the statistical theory of sequential analysis and change-point theory in combination with targets is used to evaluate non-conforming conditions in a process. Trends in fall-out rates are detected based on non-time-to-failure data that corresponds to counts of failures in consecutive time periods, with possibility of delayed input. | 02-14-2013 |
20130093570 | UTILIZING AN RFID TAG IN MANUFACTURING - Data associated with supply chain events for a manufactured assembly is automatically stored. In preferred embodiments the supply chain events for the manufactured assembly are stored on an RFID tag attached to the assembly as it travels through the supply chain to insure the data concerning the assembly is readily available and not separated from the assembly. In other embodiments, the supply chain events or characteristic data is stored on the RFID tag in a hierarchical structure beginning with the original state of the assembly and with additional entries for each step in the assembly process. In other embodiments, as the product undergoes rework, conversion to a different assembly, or personalizations, the new state of the assembly is stored in the RFID tag. In other preferred embodiments, other information is also stored on the RFID tag such as country of origin, failure data, cycle times and a quality status indicator. | 04-18-2013 |
20150088585 | SUPPLY CHAIN MANAGEMENT USING PROBLEM AND REMEDIATION PROPAGATION MODELING - A system, and computer program product for problem remediation in supply chain management are provided in the illustrative embodiments. A determination is made whether a data in a data stream of a supply chain process is indicative of a problem in the supply chain. Responsive to determining that the data is indicative of the problem, a confidence level is assigned to a diagnosis of the problem. Using a historical data repository, a symptom of the problem is identified. The symptom identifies a point in the data stream where the problem is manifested. Using the historical database, a remedy for the problem is identified. The remedy is recorded in the historical data repository with the problem and the symptom at a previous time. The previous time is before receiving the data stream. The remedy is applied to the supply chain. | 03-26-2015 |
20150088596 | SUPPLY CHAIN MANAGEMENT USING PROBLEM AND REMEDIATION PROPAGATION MODELING - A method for problem remediation in supply chain management is provided in the illustrative embodiments. A determination is made whether a data in a data stream of a supply chain process is indicative of a problem in the supply chain. Responsive to determining that the data is indicative of the problem, a confidence level is assigned to a diagnosis of the problem. Using a historical data repository, a symptom of the problem is identified. The symptom identifies a point in the data stream where the problem is manifested. Using the historical database, a remedy for the problem is identified. The remedy is recorded in the historical data repository with the problem and the symptom at a previous time. The previous time is before receiving the data stream. The remedy is applied to the supply chain. | 03-26-2015 |