[MojiTori User Case] Confirming labels attached to materials using OCR
Achieving reduced human error risk and improved traceability through digitization from paper-based management.
♦Background At ISS Yamazaki Machinery, we are engaged in the task of cutting rod-shaped steel materials to lengths suitable for forging in our factory. In the process of cutting steel materials, we used to manually check information such as material type, diameter, and charge number (manufacturing number) visually, and manage it on paper cutting instruction sheets. Following incidents of non-conformance due to misidentification of steel material information on-site, we have been advancing business reforms aimed at supplementing visual checks and improving traceability. ♦Challenges - Misconceptions and misidentifications due to visual checks - Difficulty in investigating causes when foreign materials are mixed or non-conformances occur ♦Solution - Implemented a non-visual check function using kintone × Mojitori ♦Effects of Implementation - Supplemented visual check omissions through photo capture and automatic input - Strengthened evidence through photographic records and improved traceability - Expanded to other departments and factories, currently utilized in various operations
- Company:福島コンピューターシステム
- Price:Other