Automatic detection of disruptive orders for a supply chain
US11216778B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2019 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Apr 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0637
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for automatically detecting disruptive orders for a supply chain. One method comprises obtaining a quote for an order; extracting features from the quote; and applying the extracted features to a disruptive quote machine learning engine that generates an anomaly score indicating a likelihood that the quote will cause a disruption, based on one or more predefined disruption criteria. The disruptive quote machine learning engine may employ an isolation forest algorithm and/or a multi-dimensional anomaly detection algorithm. The disruptive quote machine learning engine may be trained using historical order information comprising part-level information from historical orders and/or a manufacturing production plan comprising an inventory forecast.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.