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MarcoComuzzi

Comuzzi, Marco
Intelligent Enterprise Lab.
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dc.citation.number 6 -
dc.citation.startPage 636 -
dc.citation.title MACHINES -
dc.citation.volume 11 -
dc.contributor.author Grefen, Paul -
dc.contributor.author Vanderfeesten, Irene -
dc.contributor.author Wilbik, Anna -
dc.contributor.author Comuzzi, Marco -
dc.contributor.author Ludwig, Heiko -
dc.contributor.author Serral, Estefania -
dc.contributor.author Kuitems, Frank -
dc.contributor.author Blanken, Menno -
dc.contributor.author Pietrasik, Marcin -
dc.date.accessioned 2023-12-21T12:36:42Z -
dc.date.available 2023-12-21T12:36:42Z -
dc.date.created 2023-07-25 -
dc.date.issued 2023-06 -
dc.description.abstract The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services themselves from the providers' perspective. This paradigm has been embraced in various fields of business but has not yet been fully integrated with the concept of smart industry. To fill this gap, in this vision paper we provide a framework that does make this integration, showing the full structure of customer outcome management in smart manufacturing, from both business and digital technology perspectives. In applying this structure, a feedback loop is created that spans the markets of provider and customer and supports data-driven product evolution, manufacturing, and delivery. We propose a business reference framework that can be used as a blueprint for designing practical scenarios. We show how integrated digital support for such a scenario can be realized using a well-structured combination of technologies from the fields of the internet of things, business intelligence and federated learning, blockchain, and business process management. We illustrate all of this with a visionary case study inspired by industrial practice in the automotive domain. In doing so, we provide both an academic basis for the integration of several currently dispersed research fields that need to be integrated to further smart manufacturing towards outcome management and a practical basis for the well-structured design and implementation of customer outcome management business cases in smart manufacturing. -
dc.identifier.bibliographicCitation MACHINES, v.11, no.6, pp.636 -
dc.identifier.doi 10.3390/machines11060636 -
dc.identifier.issn 2075-1702 -
dc.identifier.scopusid 2-s2.0-85163836750 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/65094 -
dc.identifier.wosid 001015305400001 -
dc.language 영어 -
dc.publisher MDPI -
dc.title Towards Customer Outcome Management in Smart Manufacturing -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic; Engineering, Mechanical -
dc.relation.journalResearchArea Engineering -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor smart manufacturing -
dc.subject.keywordAuthor outcome economy -
dc.subject.keywordAuthor customer outcome management -
dc.subject.keywordAuthor data-driven business -
dc.subject.keywordAuthor business intelligence -
dc.subject.keywordAuthor federated learning -
dc.subject.keywordAuthor blockchain -
dc.subject.keywordAuthor internet of things -
dc.subject.keywordAuthor business process management -
dc.subject.keywordAuthor RAMI 4 -
dc.subject.keywordAuthor 0 -
dc.subject.keywordPlus INDUSTRY 4.0 -
dc.subject.keywordPlus BUSINESS MODEL -
dc.subject.keywordPlus FRAMEWORK -
dc.subject.keywordPlus DESIGN -
dc.subject.keywordPlus CUSTOMIZATION -
dc.subject.keywordPlus ANALYTICS -
dc.subject.keywordPlus INTERNET -
dc.subject.keywordPlus SERVICE -
dc.subject.keywordPlus IOT -

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