A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making. (2nd April 2020)

• Record Type: Journal Article
• Authors: Bertoni, Alessandro; Yi, Xin; Baron, Claude; Esteban, Phillippe; Vingerhoeds, Rob
• Is Part Of: International journal of product development. Volume 24:Number 1(2020)
• Page Start: 68
• Page End: 94
• Publication Date: 2020-04-02
• Subjects: data-driven design -- product innovation -- product value stream -- knowledge value stream -- decision making -- data visualisation -- data analysis; New products -- Periodicals; Technological innovations -- Periodicals; Research, Industrial -- Periodicals; 658.57505
• Languages: English
• ISSNs: 1477-9056

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.