APS SCF
What is the APS SFC System?
The APS SFC System is a simple but very effective software designed tooptimize and reduce scrap in the cold cutting saw zone by positioning the saw fence automatically with respect to the order being cut by the saw operators.
With this system you will be able to:
– Reduce scrap: By completely avoiding human error, we reduce waste in the cold saw, optimizing our processes and improving the quality of our production system.
– Cost savings: with this simple system we save on energy, gross product and personnel costs.
– Decrease of the Carbon Footprint: By applying this machine learning we are able to reduce the CO2 of manufacturing products and recycle them again, increasing our commitment to the environment.

Frequently Asked Questions
What is the APS SCF System?
It is a software tool that combines the functionality of an APS (Advanced Planning and Scheduling) System with the versatility of the Service Capability Feature (SCF), designed to optimize production planning and scheduling in Industry 4.0.
How can the APS SCF System help improve my business performance?
The APS SCF System uses advanced algorithms to maximize the efficiency of manufacturing operations, leading to improved productivity, reduced production times and increased responsiveness to market demand.
Is it compatible with other management systems?
Yes, the APS SCF System is designed to be easily integrated with other business management systems, such as ERP (Enterprise Resource Planning), MES (Manufacturing Execution System) and CRM (Customer Relationship Management), ensuring a comprehensive and efficient management of the company.
What are the requirements for my plant to implement APS SCF?
It is only necessary that the PLC of the cold saw has an ethernet connection and is in network with the rest of the automatons.
Does the APS SCF System offer analysis and reporting tools?
Yes, it provides advanced data analysis and reporting tools that enable users to obtain detailed information on production performance, identify areas for improvement and make informed decisions to optimize operations.