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Challenges of Utilizing Sensor Data Acquired by Smart Products in Product Development Activities
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10000 Zagreb, Croatia.
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10000 Zagreb, Croatia.
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10000 Zagreb, Croatia.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Humans and Technology. University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10000 Zagreb, Croatia.ORCID iD: 0000-0001-9700-008x
2022 (English)In: Acta Polytechnica Hungarica, ISSN 1785-8860, E-ISSN 2064-2687, Vol. 19, no 4, p. 165-187Article in journal (Refereed) Published
Abstract [en]

Emerging digital technologies enable capturing of a product’s digital footprint through continuous monitoring of its performance, usage, and working environment while using data acquired by its embedded sensors. However, it seems that product development (PD) teams, within engineering companies, have not yet embraced the usage of sensor data acquired by smart products (SPs) when conducting PD activities. This study discusses several challenges that hinder a broader utilization of SP's sensor data, within PD. In addition to the literature review, the discussion is supported with empirical data gathered through a qualitative exploratory case study conducted in a large engineering and manufacturing company. As a result, three challenges are outlined. First, it is challenging for the company's management and PD team to gain transparency over the benefits of sensor data utilization for PD. Second, solutions providing accessibility and visualization of gathered data should be tailored to the PD activities and teams, which requires a holistic understanding. Finally, it is suggested that new skills, roles and processes should be introduced, in order to enable SP's sensor data utilization, within PD activities. 

Place, publisher, year, edition, pages
Óbuda University , 2022. Vol. 19, no 4, p. 165-187
Keywords [en]
smart product, sensor data, product development, digital twin, data-driven design
National Category
Information Systems, Social aspects
Research subject
Product Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-92712DOI: 10.12700/aph.19.4.2022.4.9ISI: 000918321100009Scopus ID: 2-s2.0-85129299467OAI: oai:DiVA.org:ltu-92712DiVA, id: diva2:1691667
Note

Validerad;2022;Nivå 2;2022-09-02 (hanlid);

Funder: Croatian Science Foundation (IP-2018-01-7269)

Available from: 2022-08-30 Created: 2022-08-30 Last updated: 2023-05-08Bibliographically approved

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Štorga, Mario

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