TechTalks

Marco Mele

Marco Mele likes to know how things work. As a child in Naples, Italy, he would carefully dismantle radios, figure them out and finally put them back together. Today, his thirst for knowledge is part of his work.
  • Job: Industrial Engineering Manager, Semiconductor Service, Vacuum Technique
  • Specialist Subject: Manufacturing today and tomorrow
Marco Mele, TechTalks guest episode 1

From dismantling radios as a child to improving manufacturing processes as an adult, Marco leverages his natural curiosity for success.

“I want to understand how things work on a deeper level, and I think that comes through in many aspects of my work.” 

From messy drafts to a virtual world

Let us look at an example of this curiosity-fuelled innovation in practise. Marco had been tasked with ensuring that Atlas Copco Service Technology Centres (STC) are standardized, so the equipment inside works at its best.

One problem was that the process for designing the STCs required input from various teams. Until recently, drafts of design plans moved back and forth between different groups, at times leading to a long and complex process.

Now that Marco and the team has implemented digital modelling, things got much easier. Instead of sending drafts back and forth, everything can be created in a virtual world. Teams can drag and drop equipment into a digital model facility, moving components around until they find the right balance.

"It’s just one way the Group is utilizing digital twins and standardization to optimize the business and provide a better service to customers," Marco says. 

Simulate today – be prepared tomorrow

As big an impact as digital modelling had on the design process of STCs – it does not end there. Marco and the team use similar technology to simulate manufacturing processes, allowing the organization to model various scenarios, like changes in demand.

“On top of the 3D mockup, we can implement a process flow that matches whatever outcome the customer needs,” Marco says.

There might be a target output, or constraints on money, time, or space. If we know that a customer’s volumes must go up by 50% next year, we can simulate it today so everybody understands what’s going to be required and can be prepared.

The process is continuously being finetuned. Our experts can leverage machine learning and artificial intelligence to analyze the database in real time, enabling it to gather data from ongoing processes before instantly using the results to refine future processes.

“It’s a little like the communication that takes place between the brain and the lungs – we don’t decide how to breathe optimally, the data just goes back and forth, and it shifts to suit its environment. We are creating a similar ecosystem with our data,” Marco explains.

Listen to Marco on TechTalks

Marco Mele was a guest on the first ever episode of the TechTalks podcast, where we discussed how to engineer the industry of tomorrow. 

Group picture for TechTalks episode 1