Industrial Process Automation and Digital Transformation

Damiano Vendramini, Andrea Robbiani - EXOR International & CORVINA 

To optimize productivity and protect our environmental ecosystem, we have chosen to invest in one of the most powerful resources our company possesses: data.

Data is the objective element that has enabled us to:

• Identify needs, business challenges, bottlenecks in production flows, energy and material waste
• Provide a tool that allows us to make informed decisions for business improvement
• Find the best technological solution to enhance production quality and reduce environmental impact
• Measure in real-time the benefits of the solutions adopted, gaining greater awareness of what is impacting the company
• Create automation and reposition human resources in roles where strategy and experience add value

Use case

Eliminating an energy-intensive and limiting bottleneck in the production process

Challenge: The need to process more machines within climatic chambers due to increased production demands

Selection Criteria

1. Increase the number of climatic chambers
2. Leverage the data collected during the production process

The industrial digitization model

Digital transformation is not just a project but a corporate discipline.

• 30% of digitization attempts fail (Source: Harvard)
• The path to industrial digitization is based on solid planning of all involved factors
• One of the key risks to avoid is digitizing waste
• Success relies not only on people but also on their skills and expertise