Interview with Emanuele Figliolia, Product Manager at Zerynth: How Does the Zerynth Industrial IoT & AI Platform Support Production Optimization?

In this follow-up interview, we dive into the critical role of production tracking in optimizing industrial production processes. Missed our last interview? Click here to read it!

Enjoy the read!

Hi Emanuele, thanks for joining us again today. What are the standout features of Zerynth’s solution that uniquely support companies in achieving production efficiency?

Thanks for having me! Today, sustainability has become not just important but a fundamental element in modern continuous improvement strategies. Manufacturers face a dual challenge: the desire to continually enhance productivity while also reducing environmental impact.

Digital transformation offers improved efficiency, flexibility, and competitiveness for manufacturing businesses. However, it also brings challenges, especially in interpreting massive amounts of data. How can we effectively leverage this information? How do we make sense of the data flowing through production floors and operational systems?

That’s where Zerynth comes into play.

Our platform simplifies digital transformation for manufacturing SMEs, making the shift to digital manufacturing not only accessible but also sustainable. Integrating AI and IoT, our solution connects any machine on the factory floor, whether new or old, transforming it into a data source ready for analysis and clear KPIs.

With deep data analysis, Zerynth provides crucial insights to eliminate waste, reduce energy consumption, and optimize production processes, maximizing operational yield while minimizing environmental impact.

With Zerynth, companies can achieve peak operational efficiency in a way that respects the environment, supporting productivity without compromising sustainability.

Why is productivity tracking essential in the manufacturing sector, and how does Zerynth assist companies in optimizing these processes?

Collecting and analyzing production data is essential. KPIs like availability, performance, and quality are key metrics for improving production efficiency.

For example, the OEE index is an invaluable KPI for understanding production performance and making targeted strategic decisions to implement changes in production processes.

With the Production Insights App, real-time data on machine performance and production process statistics is readily available, enabling companies to spot inefficiencies before they happen. The app provides intelligent insights, allows for 24/7 product quality monitoring, prevents bottlenecks, and minimizes production waste.

Zerynth’s technologies empower companies to collect, analyze, and manage data from machinery in real time, enabling strategies for production optimization. Additionally, they can optimize delivery times, order planning and forecasting, and track the complete lifecycle of orders and processes.

When discussing “operations” within your solutions, what does that entail exactly? How does monitoring individual operations impact a company’s ability to optimize its production processes?

Production machinery can perform various operations, use different tools, and function in diverse environmental conditions and configurations. To enhance efficiency and performance, it’s essential to analyze productivity levels and identify areas for improvement. In our approach, each phase of this process is defined as an “Operation.”

With Zerynth’s advanced operation monitoring tools, production managers can compare machinery performance based on specific KPIs related to productivity, energy consumption, environmental impact, and quality.

The analysis is targeted at each individual operation performed, allowing for comparisons of the same operations across different machines through synthetic KPIs. This enables managers to maintain a clear overview of operations and make informed decisions on where and how to execute specific processes, achieving strategic goals like productivity, quality, reduced energy consumption, or production speed.

Could you elaborate on the data analysis capabilities at the machine and Operation level? What’s your approach?

The platform offers aggregated data views across factory, department, production line, and individual machinery levels, providing real-time insights into operational efficiency, energy consumption, and environmental impact throughout production processes.

With advanced process data analysis tools, it’s possible to gain insights that go beyond individual machines, offering detailed recommendations on the productivity and sustainability of specific operational methods or operations on each machine.

For instance, potential issues can be identified immediately, and opportunities for improvement in machinery utilization for specific operations can be recognized without sacrificing performance.

Machinery can be compared to target specific goals, such as operational speed, maximizing quality, minimizing energy consumption, or optimizing production.

In line with the EU CSRD directive, Zerynth enables evaluations of operational modes for industrial machinery and analysis of monitored production processes. This includes regular energy cost assessments and environmental impact in terms of CO2 emissions, for both individual machines and specific production processes.

Insights are available at any time through dashboards, or advanced reports can be automatically generated at regular intervals. Additionally, the innovative Industrial AI Copilot Zero provides insights into the productivity and sustainability of every operation carried out on the production floor.

Want to See Our Solutions in Action?

Explore our case study with CPS D’Auria, where we optimized production tracking and achieved significant process improvements.

Discover how our platform helped them enhance production efficiency, gain complete visibility on the production process, and achieve their operational goals. Read the Case Study!