Case Study: Atlas Copco minimizes cost of ownership with MathWorks' MATLAB and Simulink

Atlas Copco Minimizes Cost of Ownership Using Simulation and Digital Twins

Atlas Copco, a global manufacturer of air compressors, needed to lower total cost of ownership and improve products and services across the full machine life cycle—from engineering and production to sales and service—while reducing energy consumption. To address this, Atlas Copco partnered with MathWorks, using MATLAB and Simulink (along with Embedded Coder, MATLAB Compiler SDK, MATLAB Production Server, and analytics toolboxes) to build a Model‑Based Engineering Platform and digital twins as a single source of truth.

MathWorks’ tools enabled Atlas Copco to deploy digital twins on compressors equipped with up to 50 sensors and to collect real‑time data from more than 100,000 machines, giving sales engineers reliable performance simulations and the service division predictive maintenance capabilities. The MathWorks‑based solution delivered easy access to application‑specific data, rich simulation and analytics, the ability to combine databases with physical models, and open information sharing across teams—reducing ownership costs and enabling tailored products and maintenance strategies.

Atlas Copco

Carl Wouters

Atlas Copco