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https://doi.org/10.21256/zhaw-25865| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | On the value of data : multi-objective maximization of value creation in data-driven industrial services |
| Autor/-in: | Meierhofer, Jürg Benedech, Rodolfo Andres Heitz, Christoph |
| et. al: | No |
| DOI: | 10.1109/SDS54800.2022.00013 10.21256/zhaw-25865 |
| Tagungsband: | Proceedings : 2022 9th Swiss Conference on Data Science (SDS) |
| Herausgeber/-in des übergeordneten Werkes: | Ceballos, Cristina |
| Seite(n): | 33 |
| Seiten bis: | 39 |
| Angaben zur Konferenz: | 9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022 |
| Erscheinungsdatum: | 2022 |
| Verlag / Hrsg. Institution: | IEEE |
| ISBN: | 978-1-6654-6847-3 |
| Sprache: | Englisch |
| Schlagwörter: | Smart service; Data-intensity; Customer lifecycle; Mutual value creation |
| Fachgebiet (DDC): | 658.5: Produktionssteuerung |
| Zusammenfassung: | Data-driven value creation is a key topic in industrial services. However, designing such services in an optimal way represents a multidimensional and complex task. In this paper, we present a design methodology based on a simultaneous maxi-mization of value creation for both the provider and the customer, allowing the identification of optimal service configurations. We apply this methodology to a use case of a manufacturer delivering services for its machines in the context of a pay-per-use business model. The approach is based on modeling the value creation separately for both provider and customer, as a function of data-driven services which may be offered in different phases of the lifecycle. The model allows finding Pareto-optimal service configurations which provide value creation optimized simultaneously for both the provider and the customer. These optimal configurations are not easy to find with simpler methods because of non-linear effects in value creation along the lifecycle. |
| Weitere Angaben: | The paper was awarded the best paper award |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25865 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Publiziert im Rahmen des ZHAW-Projekts: | Gestaltung der Interaktionen von Mensch und Maschine in autonomen digitalen Service Ecosystemen (sozio-technischen Systemen) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Meierhofer-Benedech-Heitz_On-Value-Data_SDS22.pdf | 752.1 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Meierhofer, J., Benedech, R. A., & Heitz, C. (2022). On the value of data : multi-objective maximization of value creation in data-driven industrial services [Conference paper]. In C. Ceballos (Ed.), Proceedings : 2022 9th Swiss Conference on Data Science (SDS) (pp. 33–39). IEEE. https://doi.org/10.1109/SDS54800.2022.00013
Meierhofer, J., Benedech, R.A. and Heitz, C. (2022) ‘On the value of data : multi-objective maximization of value creation in data-driven industrial services’, in C. Ceballos (ed.) Proceedings : 2022 9th Swiss Conference on Data Science (SDS). IEEE, pp. 33–39. Available at: https://doi.org/10.1109/SDS54800.2022.00013.
J. Meierhofer, R. A. Benedech, and C. Heitz, “On the value of data : multi-objective maximization of value creation in data-driven industrial services,” in Proceedings : 2022 9th Swiss Conference on Data Science (SDS), 2022, pp. 33–39. doi: 10.1109/SDS54800.2022.00013.
MEIERHOFER, Jürg, Rodolfo Andres BENEDECH und Christoph HEITZ, 2022. On the value of data : multi-objective maximization of value creation in data-driven industrial services. In: Cristina CEBALLOS (Hrsg.), Proceedings : 2022 9th Swiss Conference on Data Science (SDS). Conference paper. IEEE. 2022. S. 33–39. ISBN 978-1-6654-6847-3
Meierhofer, Jürg, Rodolfo Andres Benedech, and Christoph Heitz. 2022. “On the Value of Data : Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services.” Conference paper. In Proceedings : 2022 9th Swiss Conference on Data Science (SDS), edited by Cristina Ceballos, 33–39. IEEE. https://doi.org/10.1109/SDS54800.2022.00013.
Meierhofer, Jürg, et al. “On the Value of Data : Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services.” Proceedings : 2022 9th Swiss Conference on Data Science (SDS), edited by Cristina Ceballos, IEEE, 2022, pp. 33–39, https://doi.org/10.1109/SDS54800.2022.00013.
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