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Data-driven design in concept development: systematic review and missed opportunities

Abstract The paper presents a systematic literature review investigating definitions, uses, and application of data-driven design in the concept development process. The analysis shows a predominance of the use of text mining techniques on social media and online reviews to identify customers’ needs, not exploiting the opportunity granted by the increased accessibility of IoT in cyber-physical systems. […]

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Designing Product Service Systems in the digital era: a BTH PDRL Special Session at the INCOM 2018 conference

More than 100 billion objects are expected to be connected by 2020 in the Internet of Things. This unprecedented opportunity to record and collect data about how we use a product (or experience a service) is main item in today’s design research agenda. “Data-driven Product Service System design” was the topic of the “Special Session“ […]

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Data Mining through Early Experience Prototyping: A step towards Data Driven Product Service System Design

ABSTRACT The construction industry is ripe for disruption through innovative solutions that provide added productivity. Equipment manufacturers are attempting to disrupt their industry with investments in autonomy, electrification and product-service system business models. Designing solutions that will operate in completely new systems or modify an existing complex system require new approaches to address the uncertainty […]

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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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Mining data to design value: a demonstrator in early design

ABSTRACT The paper presents a study run to verify the applicability of data mining algorithms as decision support in early design stages of a product development project. The paper describes a two-stage scenario providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator showing how data can be […]

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Data Mining in Product Service Systems Design: Literature Review and Research Questions

ABSTRACT The paper presents a literature review about data mining applications in Product/Service-Systems (PSS) design. A systematic literature review, combined with snowballing techniques, has been run to identify relevant contributions in the area. The analysis has focused on the categorization of the contributions according to their impact on the PSS design process and according to […]

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BTH PDRL at the 9th CIRP IPSS Conference

In their editorial, Tim McAloone, Daniela Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura remind us that the philosophy behind in Industrial Product Service Systems is to create customer-oriented solutions that function for longer and thus increase resource productivity, minimise resource consumption and enhance the ultimate value-add to the end user. In this spirit, the 9th […]

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