Archives

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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Call for papers: Special Issue on “User Experience and Agile Innovation: A Future of Servitisation”

Assistant Prof. Christian Johansson Askling and Associate Prof. Andreas Larsson, Blekinge Institute of Technology, Sweden, together with Prof. Åsa Ericson and Dr. Johan Lugnet, Luleå University of Technology, Sweden, are guest editors for a special issue of the International Journal of Product Development. The purpose of this special issue is to explore the ways in which […]

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BTH PDRL at the DESIGN’18 conference – awards and more

A shiny Dubrovnik welcomed researchers and practitioners to the 15th International DESIGN conference. DESIGN is a biannual event organised by the Design Society, being a main forum to exchange experiences and lessons learned about engineering design from a variety of perspectives, disciplines, and fields. BTH PDRL received one of the 3 ‘outstanding contributions’ awards for […]

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Insert innovation: Strengthening the innovative capability of a large, mature firm

ABSTRACT Large, mature firms that during many years have operated in stable and predictable business environments tend to have clear, predictable and linear product development processes with well-defined roles and responsibilities for everyone involved. The ways of working in such an organization are much different from how entrepreneurial start-up companies operates, with a lot less […]

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On knowledge maturity and biased nature of staged decision making in a high consequence industry

ABSTRACT This paper explores and problematizes decision-making in a high-consequence industry which is characterized by the stage-gate process. We showcase that decision-makers do not differentiate between the types of knowledge used for modelling decisions and calculation of risks. This makes them susceptible to incorporating cognitive distortions—biases—into the stage-gate process. We conclude by amending the risk […]

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Design and Frugal Innovations: Three roles of resource-poor people

ABSTRACT Design is imperative to satisfy needs of people in resource-limited societies. Many design studies have been carried out in the context of such societies in developing countries, and are discussed under names such as humanitarian engineering, frugal innovations, appropriate technology, design at the Base of the Pyramid, design for development, etc. In this paper, […]

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Model Driven Decision Arena: an aerospace study

ABSTRACT The concept of Decision Theatre (DT) is of great interest to leverage knowledge sharing in early stage design decision events. Yet, few contributions show how to configure a DT to support design space exploration and concept selection in cross-functional teams. This paper describes the development of a model-driven decision arena (MDDA) for aero-engine sub-system […]

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MODEL-BASED DECISION SUPPORT FOR VALUE AND SUSTAINABILITY ASSESSMENT: APPLYING MACHINE LEARNING IN AEROSPACE PRODUCT DEVELOPMENT

ABSTRACT This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data […]

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