No compromise on service

2019-08-14T14:35:00+00:00 August 14th, 2019|

Atlas Copco’s Compressor Technique Service division (CTS) is focused on sustaining lifetime partnerships with customers.

According to Ian Ainsworth, CTS business line manager, Atlas Copco’s main aim is to be the preferred choice for products, service and after-sales service. “We are therefore channelling our service drive towards gaining an in-depth understanding of our customers’ needs by looking across the board at how we can assist them to save on total cost of ownership.” He affirms that by leaving service and repair in the capable hands of qualified Original Equipment Manufacturers (OEMs) can result in savings up to 25% of the current cost to run the compressed air system.

Service and repairs can potentially save costs and reduce downtime on machinery. Image credit: Atlas Copco

Service and repairs can potentially save costs and reduce downtime on machinery. Image credit: Atlas Copco

CTS is constantly developing innovative ways to improve its tried-and-tested systems, technology and procedures by aligning with Industry 4.0 and IOT (Internet of Things). A prime example is the centrally located online system MAM2, a calendar view that allows paperless service schedules and project management. Ainsworth points out that the system is particularly beneficial for customers on Atlas Copco’s Service Plans as they enjoy prioritised, quick support in the event of a machine breakdown.

“As we consider the protection of our machines as a partnership, our service plans are a preferred approach to establishing relationships with our customers,” notes Ainsworth. In addition to keeping customers vigilant to potential issues, the service plans enable Atlas Copco to keep track of routine maintenance requirements. “This efficient teamwork enables extended product life cycles and reduced total cost of ownership.”

To better utilise the data from Atlas Copco machines in the field, CTS has also implemented a strategy whereby technical specialists analyse, interpret and summarise data from connected machines to pre-empt on site issues.