Automation and efficiency improvement in the manufacturing industry using AI and automation solutions.
Combining a wealth of solutions to support speedy DX realization!
Our company supports customers in solving their challenges from the formulation of concepts, proposing optimal solutions using advanced technologies such as AI and data science. Focusing on manufacturing management support systems, we assist with production and process management, traceability, data visualization, and optimization. By utilizing the data we manage, we conduct Big Data analysis and predictions using AI technology, leading to business improvements and further automation of operations. 【Five Steps from Hearing to Operational Follow-up】 ■STEP 1: Hearing ■STEP 2: Proposal ■STEP 3: Verification ■STEP 4: Development ■STEP 5: Operation *For more details, please refer to the PDF document or feel free to contact us.
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basic information
[Examples of Support for Maintaining Accuracy] ■ Regular investigation of AI accuracy and model switching ■ Maintenance of AI models ■ Proposals for new AI models, etc. *For more details, please refer to the PDF document or feel free to contact us.*
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Applications/Examples of results
【AI Utilization Examples】 ■ AI Demand Forecasting × Production Scheduler ■ AI Product Recognition × Image Recognition ■ Delivery Planning Optimization *For more details, please refer to the PDF document or feel free to contact us.
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Company information
The TONOPS series production management system is a semi-packaged 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 various industries, primarily in manufacturing, as well as logistics, printing, and amusement. The system is compatible with a wide range of platforms (Windows, Linux) and databases (SQL, Oracle), allowing for the rapid construction of user-friendly systems tailored to customer 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 various IoT technologies and data analysis techniques to promote smart factory initiatives aimed at improving production efficiency for customers.
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