MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641114674 A) filed by Ballari Institute Of Technology & Management; Dr. Aradhana D; Dr. Jagadish R M; Mr. Manjunath Kammar; Mr. Azhar Baig M; Ms. Spandana Bai; Ms. Archana Budagavi; Dr. R N Kulkarni; Dr. Sudhakar Avareddy; and Dr. Virupaksha Gouda R on September 24, 2026, for Portable Industry-Adaptive Apparatus For Predictive Manufacturing Resource Planning Error Detection And Prevention.

Inventors include Dr. Aradhana D; Dr. Jagadish R M; Mr. Manjunath Kammar; Mr. Azhar Baig M; Ms. Spandana Bai; Ms. Archana Budagavi; Dr. R N Kulkarni; Dr. Sudhakar Avareddy; and Dr. Virupaksha Gouda R.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: Portable Industry-Adaptive Apparatus for Predictive Manufacturing Resource Planning Error Detection and Prevention This invention describes a portable industry- adaptive apparatus for predictive identification of errors within manufacturing resource planning environments. The apparatus monitors authorized production, inventory, procurement, scheduling, material requirement, quality, master-data, and related operational events and establishes contextual relationships among transactions occurring across interconnected enterprise modules. Adaptive analytical models determine expected operational patterns according to configurable industry profiles and evaluate incoming events for deviations associated with sequencing, quantity, timing, duplication, dependency, configuration, and data inconsistencies. Correlated deviations are processed to estimate probable error origin, propagation path, affected operational functions, downstream consequences, severity, and confidence. Contextual warnings are generated before identified inconsistencies materially propagate through manufacturing records or production activities. Secure local processing, encrypted memory, protected communication interfaces, explainable analytical outputs, administrative authentication, review controls, temporary offline operation, tamper indication, and redundant power support facilitate controlled deployment across varied manufacturing environments

Disclaimer: Curated by HT Syndication.