Business Models for Industrial Smart Services
- Modern agricultural machinery manufacturers develop an increasing number of smart services to combine their already excellent physical products with an ever-growing number of physical and digital services to product-service-systems. However, this causes problems for the manufacturers, as these combinations of physical goods, services and digital services are still relatively new, and suitable business models are lacking. This paper presents a morphological framework based on a literature review and expert interviews to develop business models for product service systems. Based on the morphological framework, six different types of general business models for smart services were identified and will be described. The types were validated within the German-based research project Smart-Farming-World along with experts from agriculture and farmers. This paper discusses the first results of the validation with farmers and shows the potential of a business model for a digital twin in the context of potato harvesting.
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| Author: | Achim Kampker, Volker StichORCiDGND, Philipp JussenGND, Benedikt Moser, Jan Kuntz |
|---|---|
| DOI: | https://doi.org/10.1016/j.procir.2019.04.114 |
| ISSN: | 2212-8271 |
| Parent Title (English): | Procedia CIRP |
| Subtitle (English): | The Example of a Digital Twin for a Product-Service-System for Potato Harvesting |
| Publisher: | Elsevier BV |
| Place of publication: | Amsterdam |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2019/11/30 |
| Date of first Publication: | 2019/11/30 |
| Release Date: | 2025/08/19 |
| Tag: | Business models; Digital twin; Industrial smart services; Product-service-systems; Smart farming |
| Volume: | 83 |
| First Page: | 534 |
| Last Page: | 540 |
| Note: | Acknowledgements:
The research work underlying this paper was conducted as
part of the project “Smart-Farming-World”, which is funded by
the German Federal Ministry of Economic Affairs and Energy
(BMWi) with the project funding reference number 01MD16007E.
Smart Farming World (SmarF)
Cross-vendor networking of machines in agricultural crop production with the help of a service platform
The project targeted a connection of machines across manufacturers in the agricultural sector with the help of a service plattform. The plattform offers context-sensitive smart services based on intelligent systems to improve the productivity of the agricultural crop production.
Germany uses the potential of data based services and intelligent networks rudimentally yet. Especially the manufacturers and service providers in the agricultural sector have to operate with different customer types. A large number of participants are involved throughout the whole production process. The collaboration across companies can be improved by using information and communication technologies.
The modern agriculture is already characterized by a high level of connectivity and is an ideal starting point for further developments towards a total connected agriculture. The platform connects fields and machines among each other and integrates external data sources like weather data. The platform aggregates and analyzes incoming data and is the basis for new services like optimized fertilization or harvest strategies.
The platform optimized the whole productions process, improved the productivity and led to a reduced ressource usage.
Project partners:
CLAAS E-Systems KGaA mbH & Co KG, Gütersloh
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Kaiserslautern
Deutsche Telekom AG – Telekom Innovation Laboratories, Berlin
Grimme Landmaschinenfabrik GmbH & Co. KG, Damme
Logic Way GmbH, Schwerin |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Dienstleistungsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
