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Pregled bibliografske jedinice broj: 1165268

Challenges of utilising sensor data acquired by smart products in product development activities


Lukačević, Fanika; Škec, Stanko; Martinec, Tomislav; Štorga, Mario
Challenges of utilising sensor data acquired by smart products in product development activities // Acta Polytechnica Hungarica, 19 (2022), 4; 165-187 doi:10.12700/APH.19.4.2022.4.9 (međunarodna recenzija, članak, znanstveni)


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Naslov
Challenges of utilising sensor data acquired by smart products in product development activities

Autori
Lukačević, Fanika ; Škec, Stanko ; Martinec, Tomislav ; Štorga, Mario

Izvornik
Acta Polytechnica Hungarica (1785-8860) 19 (2022), 4; 165-187

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
smart product ; sensor data ; product development ; digital twin ; data-driven design

Sažetak
Emerging digital technologies enable capturing of 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. The presented study discusses several challenges that hinder a broader utilisation 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. Firstly, it is challenging for the company's management and PD team to gain transparency over the benefits of sensor data utilisation for PD. Secondly, solutions providing accessibility and visualisation 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 to enable SP's sensor data utilisation within PD activities.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
IP-2018-01-7269 - Timska adaptabilnost u razvoju inovativnih proizvoda (TAIDE) (Štorga, Mario, HRZZ - 2018-01) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Lukačević, Fanika; Škec, Stanko; Martinec, Tomislav; Štorga, Mario
Challenges of utilising sensor data acquired by smart products in product development activities // Acta Polytechnica Hungarica, 19 (2022), 4; 165-187 doi:10.12700/APH.19.4.2022.4.9 (međunarodna recenzija, članak, znanstveni)
Lukačević, F., Škec, S., Martinec, T. & Štorga, M. (2022) Challenges of utilising sensor data acquired by smart products in product development activities. Acta Polytechnica Hungarica, 19 (4), 165-187 doi:10.12700/APH.19.4.2022.4.9.
@article{article, author = {Luka\v{c}evi\'{c}, Fanika and \v{S}kec, Stanko and Martinec, Tomislav and \v{S}torga, Mario}, year = {2022}, pages = {165-187}, DOI = {10.12700/APH.19.4.2022.4.9}, keywords = {smart product, sensor data, product development, digital twin, data-driven design}, journal = {Acta Polytechnica Hungarica}, doi = {10.12700/APH.19.4.2022.4.9}, volume = {19}, number = {4}, issn = {1785-8860}, title = {Challenges of utilising sensor data acquired by smart products in product development activities}, keyword = {smart product, sensor data, product development, digital twin, data-driven design} }
@article{article, author = {Luka\v{c}evi\'{c}, Fanika and \v{S}kec, Stanko and Martinec, Tomislav and \v{S}torga, Mario}, year = {2022}, pages = {165-187}, DOI = {10.12700/APH.19.4.2022.4.9}, keywords = {smart product, sensor data, product development, digital twin, data-driven design}, journal = {Acta Polytechnica Hungarica}, doi = {10.12700/APH.19.4.2022.4.9}, volume = {19}, number = {4}, issn = {1785-8860}, title = {Challenges of utilising sensor data acquired by smart products in product development activities}, keyword = {smart product, sensor data, product development, digital twin, data-driven design} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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