Semih Atilla

Instrumental Industry 4.0 Implementation Leader with 3 years of experience in achieving ambitious goals within challenging IT environments. Diligent, forward-thinking, and adaptable to the dynamic needs of companies, customers, and projects. Proven success in motivating teams to meet demanding timelines.

A deep passion for empowering manufacturers to embark on transformative journeys through the adoption of cutting-edge Industry 4.0 technologies underpins extensive experience in implementing numerous Industrial IoT projects. Through strategic use of UNS architecture, widespread technology adoption has been facilitated.

A strong fascination with machine learning, big data, and digital twin technologies drives excellence in the field and motivates teams to embrace the transformative potential of Industry 4.0. Committed to leading the integration of these innovative technologies to enhance operational efficiencies and drive sustainable growth

Industrial Internet Of Things (IIoT)

Implemented Industry 4.0 Use Cases across Various Manufacturing Processes

1.Process Cost, Energy & Sustainability

Energy Monitoring: Developed systems for continuous energy usage tracking to optimize consumption.
Energy Cost Mapping: Mapped energy expenditure across different production units to identify cost-saving opportunities.
Energy Anomaly Notification: Implemented real-time alerts for energy usage anomalies to prevent wastage.
Production Carbon Footprint Per Product: Calculated and reported carbon footprint, enhancing sustainability reporting.
Process Cost Mapping: Provided detailed insights into production costs at each stage, enabling targeted cost reductions.

2.Process and Product Quality

Automated Quality & Maintenance Work Order Creation: Streamlined the process of creating work orders for maintenance and quality assurance, improving response times and precision.
Process Anomaly Notification: Set up alerts for process deviations to swiftly address and rectify potential quality issues.
Condition Based Monitoring: Deployed sensors and analytics to monitor equipment conditions, predicting failures before they occur.
Production Quality: Enhanced overall production quality through continuous monitoring and advanced analytics.

3.Production Monitoring & Tracking

Machine Remote Monitoring: Enabled remote tracking of machine performance to facilitate proactive maintenance and efficiency.
Machine Recipe Control: Standardized production by implementing machine recipe controls across the plant.
CNC Tool Life Monitoring and Anomaly Detection: Monitored CNC tool life and automated anomaly detection to minimize downtime.
Smart Bin, Automatic Purchase Order Creation: Integrated smart inventory systems with ERP to automatically trigger purchase orders as stock levels decrease.
Digital Performance Management: Implemented digital tools for performance management, optimizing operations.
Line Balancing: Achieved optimal allocation and utilization of production lines.
Production Scheduling Compliance: Ensured compliance with production schedules, enhancing operational efficiency.
Real-Time Operator Performance: Monitored and analyzed operator performance in real-time to improve productivity.
Real-Time Value Stream Mapping: Visualized and optimized the entire production process through real-time data.
Product Passport: Developed comprehensive digital records for each product, facilitating traceability and quality assurance.