PSS Pattern Concept for Knowledge Representation in Design Process of Industrial Product-service Systems

Farouk Belkadi, Yicha Zhang, Luis Usatorre Irazusta, Elaheh Maleki, Alain Bernard, Spyros Koukas

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

To save time and cost in development process of new customized product-service systems, engineers need methodological guidelines and generic knowledge that help constructing specific solutions for new customers’ requirements and business opportunities. Despite the specific character of every PSS due to several customization issues, many characteristics are shared between PSS from the same product and/or service family. This paper proposes a knowledge-based methodology to support the PSS design process, extending the concepts of pattern and instance as main knowledge fragments. The main idea is to encapsulate in the pattern a conceptual definition of a collection of potential verified solutions, able to achieve a product-service with certain performance value with regard to a set of working conditions. These solutions are then filtered and refined by means of the PSS instance when answering one specific PSS demand.
Idioma originalInglés
Páginas (desde-hasta)428-433
Número de páginas6
PublicaciónProcedia CIRP
Volumen60
DOI
EstadoPublicada - 2017
Evento27th CIRP Design Conference 2017 - Cranfield, Reino Unido
Duración: 10 may 201712 may 2017

Palabras clave

  • Product-Service
  • PSS Pattern
  • PSS design process

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/636862/EU/An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle/ICP4LIFE
  • Funding Info
  • The presented results were conducted within the project_x000D_ “ICP4Life” entitled “An Integrated Collaborative Platform for_x000D_ Managing the Product-Service Engineering Lifecycle”. This_x000D_ project has received funding from the European Union’s_x000D_ Horizon 2020 research and innovation program.

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