2024: Testing of improving supply reliability at Saku Metall Allhanke Tehas through early warning system
We aim to reduce the time spent on reviewing confirmed customer orders and decrease errors that occur during the process. Additionally, we aim to obtain more accurate and timely information regarding the need of parts and components in the initial stage of order processing, enabling us to provide information to other departments. Throughout the project, an intelligent framework will be developed based on association rule mining algorithms capable of detecting general behavior and rare behavior in BOM. As a result, users will receive precise and timely information about future orders.