InDEx – Industrial Data Excellence
Puoskari Tuomas; Leinonen Aarne; Korhonen Anssi; Potemkin Artem; Gabbouj Moncef; Lamminsivu Arttu; Aaltonen Teija; Kemppainen Matti; Eskola Roope; Toivonen; Roto Virpi; Käsnänen Riikka; Karppi Esa; Al-Sa’d Mohammad; Juha; Heikkilä Marikka; Lumme Iina; Sorvari Tuukka; Iivonen Satu; Kerovuori Juhani; Lundstedt Timo; Björkbom Mikael; Salmela Arttu; Petäjä Esko; Mustonen Jenni; Raitaniemi Sandra; Gört Henri; Tuovinen Antti-Pekka; Hyysti Mika; Eriksson Taina; Shadrunov Oleg; Shustrov Dmitrii; Andersson Kent; Mesiä Heikki; Anttila Lauri; Kivinen Janne; Laakom Firas; Helkiö Henri; Latvio Juho; Nieminen Harri; Kuusela Juha; Terho Sami; Pöyhönen Jouni; Saarimäki Joel; Järvinen Antti; Kettunen Petri; Pesonen Jyrki; Ruokolainen Jokke; Kolehmainen Kari; Mellanen Roope; Oja Sami; Nonchev Stanislav; Lehto Martti; Kauhanen Pasi; Hokkanen Anton; Kankainen Tomi; Lutai Roman; Isopahkala Antti; Boldosova Valeria; Möykkynen Joonas; Dahlman Sami; Pimiä Juuso; Asghar Muhammad-Zeeshan; Savolainen Jyrki; Silmukari Juho; Jäschke Patrick; Heinänen Salla; Jalonen Tuomas; Junttila Ilmari; Muneer Ahsan; Halttunen Aleksi; Jokiniemi Kimi; Niskanen Ilkka; Tasanko Juho; Männistö Tomi; Komulainen Antti; Syed Basit; Kiranyaz Serkan; Soinola Satu
https://urn.fi/URN:NBN:fi-fe2022121371285
Tiivistelmä
InDEx, the Industrial Data Excellence program, was created to investigate what industrial data can be collected, shared, and utilized for new intelligent services in high-performing, reliable and secure ways, and how to accomplish that in practice in the Finnish manufacturing industry.
InDEx produced several insights into data in an industrial environment, collecting data, sharing data in the value chain and in the factory environment, and utilizing and manipulating data with artificial intelligence. Data has an important role in the future in an industrial context, but data sources and utilization mechanisms are more diverse than in cases related to consumer data. Experiences in the InDEx cases showed that there is great potential in data utili zation.
Currently, successful business cases built on data sharing are either company-internal or utilize an existing value chain. The data market has not yet matured, and third-party offerings based on public and private data sources are rare. In this program, we tried out a framework that aimed to securely and in a controlled manner share data between organizations. We also worked to improve the contractual framework needed to support new business based on shared data, and we conducted a study of applicable business models. Based on this, we searched for new data-based opportunities within the project consortium. The vision of data as a tradeable good or of sharing with external partners is still to come true, but we believe that we have taken steps in the right direction.
The program started in fall 2019 and ended in April 2022. The program faced restrictions caused by COVID-19, which had an effect on the intensity of the work during 2020 and 2021, and the program was extended by one year. Because of meeting restrictions, InDEx collaboration was realized through online meetings. We learned to work and collaborate using digital tools and environments. Despite the mentioned hindrances, and thanks to Business Finland’s flexibility, the extension time made it possible for most of the planned goals to be achieved.
This report gives insights in the outcomes of the companies’ work within the InDEx program. DIMECC InDEx is the first finalized program by the members of the Finnish Advanced Manufacturing Network (FAMN, www.famn.fi).
Kokoelmat
- Rinnakkaistallenteet [19207]