Titlebook: Data-Driven Decision Making for Product Service Systems; Giuditta Pezzotta,Roberto Sala,Fabiana Pirola Book 2024 The Editor(s) (if applica

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Role of Ontology in Data-Driven PSS Engineering and Design and Lifecycle Managementven PSS engineering are examined at two case studies, one in design and building services in the machine industry and one in service configuration and operation in the logistics domain. Both cases address the application of ontologies for PSS lifecycle management as well.

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Multi Criteria Decision Making for PSS Design analysis, it further proposes 5 ‘questions to be asked’, reflecting on the selection and usage of the MCDM techniques when approaching PSS design vs. classical product development and systems engineering.

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Defining the Smartness of Data-Driven PSS in Decision-Makingservice offering. Next, we use two real cases to validate this working definition. In the end, we discuss the similarities and differences between the two cases to identify the contribution of this research, its limits and research avenues.

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e adoptions of data-driven decision-making tools.Presents an.This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the context of Product-Service Systems (P

断言

Book 2024y focusing on data-driven decision-making within the context of Product-Service Systems (PSS). Providing a comprehensive overview, it discusses the latest breakthroughs in operational, tactical, and strategic decision-making for PSS, leveraging data-driven processes, methodologies, and tools. Theref

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T. Keler,C. A. D. Smith,A. Nowotnyore, there is a need for a structural approach in data management. A PSS semantic framework in the form of ontology representing generic PSS entities and their relations brings not only benefits to PSS engineering and design phases, but also enhancements of the whole PSS lifecycle management. This c

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