Title: A Smart Predictive Maintenance Approach based on Cyber Physical Systems
Programme: EUREKA / ITEA3
Project ID: 17041
Project period: 2019-2021
Budget: €7.5M
Partners:
- Turkey: Enforma (L); Netaş; Kocaer; Bitnet; Isuzu; Zorlu Enerji
- Finland: VTT; Caverion; Junkkari; Wapice; Ramentor; Nome
- Spain: Tecnalia; Mondragon Assembly; Danobat; IK4-Ideko; IK4-Lortek; Zayer; CTI Soft; Savvy Systems
- Portugal: CISTER/ISEP; SONAE; VPS
- Romania: BEIA; SIS
Enforma is the project leader denoted by (L).
Underlined are the country coordinators.
Summary:
Manufacturing is undergoing immense yet gradual Industry 4.0 transformation with the help of advancements including predictive maintenance. SMART-PDM’s objective is to acquire manufacturing data to provide diagnosis and prognosis information while rendering the underlying technology financially feasible. This will result in lower costs of maintenance, waste and parts as well as improvements in quality and throughput. The technological advancements validated by the demonstrators will help enhance the know-how, technologies, solution offerings and toolsets of the partners.
Enforma’s involvement:
Data analytics solution provider
Project leader; country coordinator; 2x WP leader; 4x Task leader
Website:
① https://itea3.org/project/smart-pdm.html
② https://smart-pdm.eu/