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Publication type: Conference paper
Type of review: Peer review (publication)
Title: On the value of data : multi-objective maximization of value creation in data-driven industrial services
Authors: Meierhofer, Jürg
Benedech, Rodolfo Andres
Heitz, Christoph
et. al: No
DOI: 10.1109/SDS54800.2022.00013
Proceedings: Proceedings : 2022 9th Swiss Conference on Data Science (SDS)
Editors of the parent work: Ceballos, Cristina
Page(s): 33
Pages to: 39
Conference details: 9th Swiss Conference on Data Science (SDS 2022), Lucerne, Switzerland, 22-23 June 2022
Issue Date: 2022
Publisher / Ed. Institution: IEEE
ISBN: 978-1-6654-6847-3
Language: English
Subjects: Smart service; Data-intensity; Customer lifecycle; Mutual value creation
Subject (DDC): 658.5: Production management
Abstract: 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.
Further description: The paper was awarded the best paper award
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Published as part of the ZHAW project: Gestaltung der Interaktionen von Mensch und Maschine in autonomen digitalen Service Ecosystemen (sozio-technischen Systemen)
Appears in collections:Publikationen School of Engineering

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