Towards an approach integrating various levels of data analytics to exploit product-usage information in product development

Patrick Klein, Wilhelm Frederik van der Vegte, Karl Hribernik, Thoben Klaus-Dieter

Research output: Contribution to journalConference articleScientificpeer-review

2 Citations (Scopus)
18 Downloads (Pure)

Abstract

By applying data analytics to product usage information (PUI) from combinations of different channels, companies can get a more complete picture of their products' and services' Mid-Of-Life. All data, which is gathered within the usage phase of a product and which relates to a more comprehensive understanding of the usability of the product itself, can become valuable input. Nevertheless, an efficient use of such knowledge requires to setup related analysis capabilities enabling users not only to visualize relevant data, but providing development related knowledge e.g. to predict product behaviours not yet reflected by initial requirements. The paper elaborates on explorations to support product development with analytics to improve anticipation of future usage of products and related services. The discussed descriptive, predictive and prescriptive analytics in given research context share the idea and overarching process of getting knowledge out of PUI data. By implementation of corresponding features into an open software platform, the application of advanced analytics for white goods product development has been explored as a reference scenario for PUI exploitation.

Original languageEnglish
Pages (from-to)2627-2636
Number of pages10
JournalProceedings of the International Conference on Engineering Design, ICED
Volume2019-August
DOIs
Publication statusPublished - 2019
Event22nd International Conference on Engineering Design, ICED 2019 - Delft, Netherlands
Duration: 5 Aug 20198 Aug 2019

Keywords

  • Analytics
  • Design methods
  • Semantic data processing
  • Simulation
  • User centred design

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