SCRAPYARD
70% of steel production costs correspond to raw materials, with scrap accounting for the largest portion of these costs.
The consequences of poor scrap management and sorting impact the process chain, the most common are:
- Lack of traceability and stock control
- The increase in costs derived from the use of ferroalloying agents
- The impact on the quality of the steel produced
- Una baja eficiencia en el proceso de fusión
- Possible fraud scenarios in scrap procurement
Eliminate risks with SCRAPYARD
SCRAPYARD is a platform based on Artificial Intelligence that covers different phases of the Scrap entry process such as:
- Digitization of entry information and creation of a "digital dossier".
- Scrap sorting at plant infeed using vision analytics
- Calculation of volume and density using IIoT
- Chemical profile integration for analytical dashboard generation
- Integration of information and updating of the digital dossier in ERP-MES
High-impact benefits in your processes
Os principaIs benefícios da digitalização do processo de entrada de sucata e a adoção de tecnologias I4.0 como Big Data, Inteligência Artificial e IIoT, são:
- Streamlining of the Scrap entry process.
- Reducing possible fraud in the entry of Scrap.
- Information integrity between different departments and systems.
- Minimize controversies about scrap quality.
- Visibility and control over critical characteristics of the Scrap.
awards
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