3-D printing batch analysis is disclosed. A disclosed example apparatus includes a processor to generate a plurality of batches, wherein each of the batches represent an arrangement of a plurality of parts to be printed in a volume, discretize the batches into slices, and determine risk values of the slices based on the respective geometric primitives. The processor is to also determine aggregate risk values corresponding to the batches based on the risk values of the slices of the respective batches, and select a batch of the plurality of batches based on the aggregate risk values. The example apparatus also includes a printer to print the selected batch in the volume.

A computer-implemented method and computing system are provided for failure prediction of a batch of manufactured objects. The method includes classifying, by a processor using a simulation, a set of samples with uniformly distributed parameter values, to generate sample classifications for the batch of manufactured objects. The method further includes determining, by the processor, a centroid of failing ones of the samples in the set, based on the sample classifications. The method also includes generating, by the processor, a new set of samples with a distribution around the centroid of the failing ones of the sample in the set. The method additionally includes populating, by the processor, a nearest neighbor vector space using the new set of samples. The method further includes classifying, by the processor, the new set of samples by performing a nearest neighbor search on the nearest neighbor vector space using a distance metric.

A method and industrial automation system for controlling performance of batch process includes obtaining operational data and Key Performance Indicators (KPI's) for a batch process. The operational data is provided with an absolute timestamp such that absolute timestamp associated with operational data and KPI's is converted to time duration relative to predefined event. The obtained operational data and KPI's, and reference set of operational data and KPI's are aligned based on time duration relative to a predefined event. The method comprises comparing aligned operational data and the KPI's with the reference set of KPI's and operational data. Based on comparison, one or more reference batches are determined. The method comprises identifying one reference batch based on predefined criteria. Thereby, the method involves controlling performance of batch process by providing modified setpoints based on identified reference batch.

Various embodiments enable batch inspection of a plurality of workpieces by and inspection instrument such as a coordinate measuring machine. Some embodiments present user interfaces, including graphical user interfaces, to enable an operator to configure a batch inspection system and a batch inspection job, and to monitor and control execution of a batch inspection job.

3-D printing batch analysis is disclosed. A disclosed example apparatus includes a processor to generate a plurality of batches, wherein each of the batches represent an arrangement of a plurality of parts to be printed in a volume, discretize the batches into slices, and determine risk values of the slices based on the respective geometric primitives. The processor is to also determine aggregate risk values corresponding to the batches based on the risk values of the slices of the respective batches, and select a batch of the plurality of batches based on the aggregate risk values. The example apparatus also includes a printer to print the selected batch in the volume.

A system and method are provided for recording and then displaying comments containing recommended actions to take in response to abnormal conditions arising during process operations. The comments can be ranked by an operator based on their success in remedying abnormal conditions with the highest ranked actions displayed first.

A control module is adapted to control technical equipment by processing batch-run data from the technical equipment. The control module operates according to parameters that are obtained by a parameter module. The module receives a reference plurality of multi-variate reference time series with data values from sources that are related to the equipment. There are time series with measurement values and time series with data that describes particular manufacturing operations during a batch-run time interval. The module splits the time interval into phases by determining transitions between the particular manufacturing operations, and divides the time series into particular phase-specific partial series. For each phase separately, and for the phase-specific partial series in combination, the module differentiates phase-specific time series into relevant partial time series or non-relevant partial time series and set the parameters accordingly.

A computer-implemented method and computing system are provided for failure prediction of a batch of manufactured objects. The method includes classifying, by a processor sing a simulation, a set of samples with uniformly distributed parameter values, to generate sample classifications for the batch of manufactured objects. The method further includes determining, by the processor, a centroid of failing ones of the samples in the set, based on the sample classifications. The method also includes generating, by the processor, a new set of samples with a distribution around the centroid of the failing ones of the sample in the set. The method additionally includes populating, by the processor, a nearest neighbor vector space using the new set of samples. The method further includes classifying, by the processor, the new set of samples by performing a nearest neighbor search on the nearest neighbor vector space using a distance metric.

To provide enhanced search capabilities in a process control system, a knowledge repository is generated that includes both contextual data and time series data. The contextual data organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the knowledge repository. The contextual data categorizes process parameters so that users can search for a particular process parameter category. Users can tag previous searches to execute them once again at a later time. Users can also execute queries for predicted or future states of process plant entities, batch queries regarding batch processes, soft sensor analytics and monitoring applications, parameter lifecycle applications, perturbation applications, step testing applications, or batch provisioning and scheduling applications using the knowledge repository.

The disclosed embodiments include systems and methods of manufacturing a product. The system may include a non-transitory computer readable medium comprising computer readable program code for performing the method. The method may include manufacturing batches of the product according to steps of a process flow, determining output data for each batch, sequencing the batches by output data, determining a plurality of modes of output data based on grouping the batches, identifying a detrimental factor to output data in a process flow step based on a correlation between the process flow step and a mode of the plurality of modes, and correcting the detrimental factor.