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

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 […]

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Welcome Roberto! A research exchange with data-driven PSS design in focus

Roberto Sala joins the Product Development Research Lab until the end of February 2020 to strengthen our research on data-driven decision-methods for PSS delivery. Roberto graduated in Management Engineering at Politecnico di Milano and is now a final year PhD student at the department of Department of Management, Information and Production Engineering at University of […]

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Data-driven value assessment of packaging solutions

ABSTRACT Research in Product Service Systems design increasingly focuses on how to develop ‘capabilities’ for assessing the value of solutions already in  a design project fuzzy front end. A datadriven approach shall then guide engineers in the process of identifying what to develop, and not merely to verify if a solution meets (or not) performance requirements. This process […]

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Modeling resale value of road compaction equipment: a data mining approach

ABSTRACT Resale value is an important aspect to be addressed when companies aim to shift from one-sale models to Product Service Systems (PSS). In the initial stages of the PSS design process, it is beneficial to predict how the mechanical features of the PSS hardware will impact resale value, so to orient business strategy decisions accordingly. The objective […]

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