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IFIP Advances in Information and Communication TechnologyVolume 480, 2016, Pages 350-36017th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2016; Porto; Portugal; 3 October 2016 through 5 October 2016; Code 184269

Competence matching in collaborative consortia for service-enhanced products(Conference Paper)

  • aFaculty of Sciences and Technology, Universidade Nova de Lisboa/Uninova, Lisbon, Portugal
  • bInformatics Institute, University of Amsterdam, Amsterdam, Netherlands

Abstract

To exploit new market challenges in manufacturing industries, collaborative environments permit that different stakeholders achieve value creation and differentiated products when addressing the design and development of products that include associated business services (service-enhanced products). In order to facilitate a suitable context for networks of SMEs in the domain of highly customized and service-enhanced products, the GloNet project addressed collaborative networks with different configurations and purposes. In this context, this paper is focused on how a collaborative consortia for service-enhanced products can be created having into account the requirements for a new product and the necessary normalization of organization’s competences. © IFIP International Federation for Information Processing 2016.

Author keywords

Collaborative networksService-enhanced productSpecificationVirtual organization

Indexed keywords

Engineering controlled terms:SpecificationsVirtual corporation
Engineering uncontrolled termsBusiness serviceCollaborative environmentsCollaborative networkDesign and DevelopmentDifferentiated productsManufacturing industriesService-enhanced productVirtual organization
Engineering main heading:Product design
  • ISSN: 18684238
  • ISBN: 978-331945389-7
  • Source Type: Book series
  • Original language: English
  • DOI: 10.1007/978-3-319-45390-3_30
  • Document Type: Conference Paper
  • Volume Editors: Camarinha-Matos L.M.,Afsarmanesh H.,Soares A.L.
  • Sponsors: Etal,IFIP WG 5.5 COVE,Nova University of Lisbon,Society of Collaborative Networks,Uninoa,Universiteit van Amsterdam
  • Publisher: Springer New York LLC

  Oliveira, A.I.; Faculty of Sciences and Technology, Universidade Nova de Lisboa/Uninova, Lisbon, Portugal;
© Copyright 2017 Elsevier B.V., All rights reserved.

Cited by 2 documents

Andres, B. , Poler, R. , Camarinha-Matos, L.M.
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(2017) International Journal of Simulation Modelling
Paajanen, S. , Valkokari, K. , Aminoff, A.
The opportunities of big data analytics in supply market intelligence
(2017) IFIP Advances in Information and Communication Technology
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