The project aims to integrate an adaptive robotic system into BRG Zinco's production line to make the production process more efficient and safer.
B.R.G Srl
Kuka
Incremento della Capacità Produttiva Giornaliera
Si prevede un incremento del 20% nei cicli di trattamento galvanico giornalieri grazie all’automazione, con un risparmio significativo sui tempi morti e un miglioramento dell’efficienza operativa.
Numero Massimo di Interventi dell'Operatore
Il sistema robotico adattivo ridurrà al minimo la necessità di interventi manuali, limitando a 5 interventi per settimana da parte degli operatori, monitorando e migliorando la capacità adattiva del sistema robotico.
Aumento della Produttività e Ottimizzazione delle Risorse
L’automazione del processo porta ad un aumento della produttività del 40%, ottimizzando l’utilizzo delle risorse umane e migliorando la sicurezza degli operatori, riducendo il rischio di infortuni e aumentando l'efficienza globale della linea produttiva.
BRG SRL specializes in the treatment and galvanization of metal components, improving their durability and corrosion resistance. The company uses advanced technologies to optimize production processes while ensuring safety and compliance with environmental regulations.
BRG Zinco faced significant inefficiencies related to the manual handling of baskets containing treated metal components, a physically demanding and unproductive activity. This phase required the continuous use of 2-3 operators, with ergonomic risks and bottlenecks slowing down the process. The use of a motorized hoist and manual procedures for transferring and drying the material limited overall efficiency. Although operating safely, the company recognized the need to introduce automated and adaptive systems to optimize the production cycle, reduce risks, and increase competitiveness.
The GALBOT project aims to study and integrate an adaptive robotic system into BRG Zinco’s production line in order to make the production process more efficient and safer. The project idea involves studying the current work cycle, in which the operator picks up the treated material, places it in a hydroextractor for drying, and then extracts it for final sorting. The use of a Kuka industrial robotic arm with a maximum load capacity of 120 kg and a range of 2.70 m is planned, together with a series of sensors designed to make the automatic operation adaptive and safe, in compliance with current regulations.
Data analytics
Graph Neural Netowork (GNN)
Digitalization
Production Process Optimization: increased operational efficiency through automation of manual tasks and reduced cycle times for handling and drying operations.
Personnel safety: reduction in the risk of accidents related to the manual handling of heavy loads and improvement in working conditions for operators.
Use of personnel: reassignment of personnel to more skilled and value-added tasks and opportunities for training and development of new technological skills.
Flexibility and Scalability: possibility to adapt the system to future changes or expansions of the production process and ability to integrate additional technologies into the robot.
This new workflow therefore represents the entry point for the proposer, its supply chain, and the local and national manufacturing sector to integrate adaptive automated solutions with the aim of streamlining processes, increasing competitiveness, and improving workplace safety.
• Competitiveness and Innovation: improved market competitiveness through the adoption of advanced technologies and the modernization of production processes.
• Increased Efficiency: reduced cycle times through the automation of operations, leading to higher overall productivity.
• Cost Reduction: lower long-term operating costs through reduced manual labor and fewer errors.
• Human Resource Optimization: possibility of reallocating staff to more skilled and strategic tasks, improving the use of human skills.
