Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4748
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dc.contributor.authorDe Coster, R-
dc.date.accessioned2011-02-23T12:09:23Z-
dc.date.available2011-02-23T12:09:23Z-
dc.date.issued2011-
dc.identifier.citationThe International Journal of Advanced Manufacturing Technology, 52(9-12): 1251-1260, Feb 2011.en_US
dc.identifier.issn0268-3768-
dc.identifier.urihttp://www.springerlink.com/content/nj8k446060220656/en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/4748-
dc.descriptionCopyright @ Springer-Verlag London Limited 2010. The final version of this article may be viewed at the link below.en_US
dc.description.abstractThis paper examines the forecasting implications for product–service systems (PSS) applications in manufacturing firms. The approach taken is to identify the scope of operations for PSS applications by identifying all the activities associated with the service deployment in the telecom sector. The paper then develops a revenue model for manufacturing firms providing PSS applications. The revenue model identifies three generic revenue streams that provide the basis for discussion on the differences in forecasting approaches, including collaborative approaches based on PSS staff being geographically co-located.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag London Limiteden_US
dc.subjectForecastingen_US
dc.subjectProduct–service systems (PSS)en_US
dc.subjectRevenue modelen_US
dc.subjectRevenue sourcesen_US
dc.subjectService deliveryen_US
dc.subjectCo-locationen_US
dc.subjectCollaborationen_US
dc.titleA collaborative approach to forecasting product–service systems (PSS)en_US
dc.typeResearch Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00170-010-2769-1-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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