[TONOPS Scheduler Implementation Case] For Company B in the Material Processing Industry
Contributing to the reduction of on-site workload and improvement of efficiency through automated scheduling and visualization of production results!
We would like to introduce a case study of the implementation of the "TONOPS Scheduler" for Company B in the materials processing industry. Traditionally, production planning tasks were performed manually by workers, requiring significant time and effort. By systematizing these tasks, we achieved a substantial reduction in labor hours. Additionally, the system flexibly accommodates sudden changes in plans and multi-product production. Furthermore, we have realized a paperless environment by utilizing tablets, significantly reducing confirmation tasks that relied on paper and phone calls. The Gantt chart screen displays actual results alongside the planned schedule, allowing for real-time monitoring of production status at a glance. [Case Study] ■ Implemented Product: TONOPS Scheduler ■ Client: Company B in the materials processing industry *For more details, please refer to the PDF document or feel free to contact us.
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The TONOPS series production management system is a semi-package type production management solution developed based on a wealth of implementation experience across a wide range of industries, including pharmaceuticals, food, LCDs, semiconductors, and automotive parts. It can accommodate a broad spectrum of industries, primarily in manufacturing, as well as logistics, printing, and amusement. The system is compatible with various platforms (Windows, Linux) and databases (SQL, Oracle), allowing for the rapid construction of a user-friendly system tailored to the customer's operations. It excels in integration and control with various production equipment and on-site devices such as DCS, PLC, automated warehouses, unmanned transport vehicles, automatic weighing machines, and inspection devices. Additionally, it combines with various IoT technologies and data analysis techniques to propose smart factory solutions aimed at improving production efficiency for customers.