Regarding the implementation of smart technologies in Product Service Systems (PSS), this research proposes the SEEM-Smart Methodology as a model aimed at promoting innovations that provides better support for the development of Smart PSS. The methodology builds further by taking a data driven approach ensuring that both customer needs and company objectives are achieved. The research applies a case study approach studying the use of SEEM-Smart Methodology within the electrical industrial sector, specifically focusing on the analysis and conceptualization phases. This approach is characterized by its five interconnected phases: analysis of the customer needs, conceptualization of the PSS solution, design of PSS-related components, development and validation of the PSS proof of concept, and finally data monitoring. The results show that the SEEM-Smart Methodology is a useful approach to designing and engineering Smart PSS, indicating an organized, dynamic, iterative process facilitating ongoing enhancement. As a comprehensive design model that can be easily applied in the industrial context, the study finds that SEEM-Smart Methodology has significant value when it comes to Smart PSS. It fills gaps between customer orientation in the design and implementation of smart systems.

(2024). Designing Smart Product-Service Systems: The SEEM-Smart Methodology and Its Application in the Electrical Industrial Sector . Retrieved from https://hdl.handle.net/10446/280289

Designing Smart Product-Service Systems: The SEEM-Smart Methodology and Its Application in the Electrical Industrial Sector

Arioli, Veronica;Sala, Roberto;Pirola, Fabiana;
2024-01-01

Abstract

Regarding the implementation of smart technologies in Product Service Systems (PSS), this research proposes the SEEM-Smart Methodology as a model aimed at promoting innovations that provides better support for the development of Smart PSS. The methodology builds further by taking a data driven approach ensuring that both customer needs and company objectives are achieved. The research applies a case study approach studying the use of SEEM-Smart Methodology within the electrical industrial sector, specifically focusing on the analysis and conceptualization phases. This approach is characterized by its five interconnected phases: analysis of the customer needs, conceptualization of the PSS solution, design of PSS-related components, development and validation of the PSS proof of concept, and finally data monitoring. The results show that the SEEM-Smart Methodology is a useful approach to designing and engineering Smart PSS, indicating an organized, dynamic, iterative process facilitating ongoing enhancement. As a comprehensive design model that can be easily applied in the industrial context, the study finds that SEEM-Smart Methodology has significant value when it comes to Smart PSS. It fills gaps between customer orientation in the design and implementation of smart systems.
2024
Inglese
6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024
Arena, Simone; Roda, Irene; Voisin, Alexandre; Parlikad, Ajith Kumar; Emmanouilidis, Christos;
58
8
318
323
online
Netherlands
Amsterdam
Elsevier
AMEST 2024: 6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology, Cagliari, Italy, 12-14 June 2024
6th
Cagliari, Italy
12-14 June 2024
internazionale
contributo
Settore IIND-05/A - Impianti industriali meccanici
Customer Needs Analysis; Data-Driven Design; Electrical Industrial Sector; IoT Platform; PSS (Product-Service System); SEEM Framework; Smart Technologies; Sustainable Innovation;
info:eu-repo/semantics/conferenceObject
7
Zani, Vanessa; Diaz, Vicente Gonzalez-Prida; Arioli, Veronica; Sala, Roberto; Pirola, Fabiana; Guillén López, Antonio J.; Marquez, Adolfo Crespo...espandi
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2024). Designing Smart Product-Service Systems: The SEEM-Smart Methodology and Its Application in the Electrical Industrial Sector . Retrieved from https://hdl.handle.net/10446/280289
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/280289
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