Equipment Alley

Thursday November 07, 2024 from 09:00 to 10:00

Room: Central

TT-Equip 5.2 Towards new service and operational models with guaranteed uptime: Dream or reality?

Valentin Archontidis, Belgium

Customer Success Director
Industrial
IBA sa

Abstract

Towards new service and operational models with guaranteed uptime: dream or reality?

Emmanuelle Wargnies1, David Verwilghen1, Vincent Ganzitti1, Jérémy Brison1, Valentin Archontidis1.

1IBA, Louvain-La-Neuve, Belgium

The installed base of accelerators is growing fast worldwide and is evolving from a first generation of customized accelerators to more serialized, industrial and integrated solutions. In 2030, more than 100 Rhodotron will be installed, including 20+ X-Ray systems. As the technology is more widely used, the profile of users and operators is also evolving from passionate early adopters to more general industrial and manufacturer users.

Keeping the uptime and productivity of accelerator-based irradiation solutions at a high level has always been the center of attention of manufacturers, proposing basic service contract including preventive support, continuous and pro-active support and corrective support. More recently, the COVID crisis has accelerated the development and deployment of digital solutions enabling better and faster remote troubleshooting.

However, accelerators are still perceived today as complex devices to maintain and to diagnose in case of issues with sometimes high mean time to repair (MTTR), causing high stress to the teams and customers.

In this paper, we go one step further, and propose a vision and a roadmap for a new era of service, including a guaranteed uptime. This new approach will allow users and customers to better plan their activities and reduce the safety margins and redundancies needed to operate their business.

To reach that goal, a technological and service roadmap will be presented and described. The new digital Customer Portal Be.IN, which combined with AI will be the enabler of predictive maintenance and faster remote diagnostics, will be introduced and described. Practical cases and actual data of uptime and mean time to repair will be presented, as well as case of predictive failure detection.

Presentations by Valentin Archontidis


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