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A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making

Author

Listed:
  • Alessandro Bertoni
  • Xin Yi
  • Claude Baron
  • Phillippe Esteban
  • Rob Vingerhoeds

Abstract

The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a model-based decision process. Visualisation is proposed as a communication enabler at the top of the framework to overcome the comprehensibility barrier between data science and engineering design models. The framework is implemented in the case study of a construction equipment encompassing the analysis of operational machine data and the experimentation of suitable visualisation techniques. Ultimately, a list of challenges for the implementation of data-driven design is presented, and the capability of the framework to support the transition toward data-driven design is discussed in relation to the emergence of product-service systems solutions.

Suggested Citation

  • Alessandro Bertoni & Xin Yi & Claude Baron & Phillippe Esteban & Rob Vingerhoeds, 2020. "A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 24(1), pages 68-94.
    • Handle: RePEc:ids:ijpdev:v:24:y:2020:i:1:p:68-94
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