The module IPN inPROC of our IoT platform is used to predict product- & process quality. Complementary, inPROC recommends adjustments to production parameters to reach a specified target quality. In contrast to the module IPN inCARE, this module uses process & status data for its predictions which are collected only once or a few times (representative spot samples) during a production run or a batch.
Same as for the module IPN inCARE the prediction models can be developed and deployed both by IPN or directly by the user himself.
IPN inPROC is used in IPN projects to help reduce scrap production in a batch production, to optimize the rigging phase of a production machine and for to optimise process control of a chemical reactor.