The paper presents a methodology for the design of a Product-Service System (PSS). It has a focus on the integration of Internet of Thing technologies and the modelling of the PSS lifecycle. The methodology includes elaborated techniques, such as the Business Model Canvas and the Quality Function Deployment, as well as new tools like the construction of suitable matrices for put in evidence the IoT Capabilities. The lifecycle model is expressed with the Lifecycle Modeling Language (LML) and the modeling procedure is performed concurrently with each activity of the PSS design methodology. The methodology is tested in the automotive sector, because car companies realize growth opportunities in the service area.

Proposal of a methodology for pss lifecycle-oriented design: Application in the automotive industry

Cattaneo, Laura;Cerri, Daniele;Terzi, Sergio;THOBEN, KLAUS-DIETER
2018-01-01

Abstract

The paper presents a methodology for the design of a Product-Service System (PSS). It has a focus on the integration of Internet of Thing technologies and the modelling of the PSS lifecycle. The methodology includes elaborated techniques, such as the Business Model Canvas and the Quality Function Deployment, as well as new tools like the construction of suitable matrices for put in evidence the IoT Capabilities. The lifecycle model is expressed with the Lifecycle Modeling Language (LML) and the modeling procedure is performed concurrently with each activity of the PSS design methodology. The methodology is tested in the automotive sector, because car companies realize growth opportunities in the service area.
2018
2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
9781538607749
Automotive Industry; Business Model Canvas (BMC); Internet of Things (IoT); Lifecycle Modeling Language (LML); Product-Service System (PSS); Quality function Deployment (QFD); Computer Science Applications1707 Computer Vision and Pattern Recognition; Software; Engineering (miscellaneous); Computer Networks and Communications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1061825
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