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Data-driven decision making for product service systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data-driven decision making for product service systems/ edited by Giuditta Pezzotta ... [et al.].
其他作者:	Pezzotta, Giuditta.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	xix, 292 p. :ill. (some col.), digital ;24 cm.
內容註:	Asset data driven design for PSS -- Asset/Maintenance -- Service Data Driven Design based on Simulation -- Validazione decisioni uomo tramite data-driven models -- PSS Digital Twin (Service delivery decision) -- Service report (Definition of the strategy for service data collection and analysis) -- Service data analysis -- Service Design -- Business Model -- Multi Attribute Decision Making models for design concept selection -- PSS ontology -- Lifecycle costing -- KPI (Improvement of the asset and service knowledge) -- Risk management/financial risk -- PSS and sustainability.
Contained By:	Springer Nature eBook
標題:	Industrial management - Decision making. -
電子資源:	https://doi.org/10.1007/978-3-031-60082-1
ISBN:	9783031600821

Data-driven decision making for product service systems
Data-driven decision making for product service systems[electronic resource] /edited by Giuditta Pezzotta ... [et al.]. - Cham :Springer International Publishing :2024. - xix, 292 p. :ill. (some col.), digital ;24 cm.

Asset data driven design for PSS -- Asset/Maintenance -- Service Data Driven Design based on Simulation -- Validazione decisioni uomo tramite data-driven models -- PSS Digital Twin (Service delivery decision) -- Service report (Definition of the strategy for service data collection and analysis) -- Service data analysis -- Service Design -- Business Model -- Multi Attribute Decision Making models for design concept selection -- PSS ontology -- Lifecycle costing -- KPI (Improvement of the asset and service knowledge) -- Risk management/financial risk -- PSS and sustainability.

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 (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. Therefore, the book significantly contributes to strengthening the knowledge on the use of data-driven decision-making methods and tools all the phases of the PSS lifecycle. From extended warranties and leasing to pay-per-use and other innovative configurations, manufacturing companies are increasingly adopting servitized business models and PSS to create additional value for their customers and users and create robust relationships with them, ensuring more reliable cash flows. In this setting, effective information management and the utilization of aggregated operational data have become essential for guiding strategic, tactical, and operational decisions. This book not only consolidates theoretical frameworks but also offers practical insights into data-driven decision-making in PSS, providing deep knowledge on how complex decisions can be taken along the various phases of the PSS lifecycle using data-driven methods and tools. Key areas of focus include: 1. In the Beginning of Life, introducing new services tailored to customer needs, disclosing new business opportunities in terms of revenues, and extending the PSS Middle of Life. 2. Designing or re-designing assets and/or services, thereby influencing the PSS Beginning of Life. 3. Enhancing daily decisions related to asset management to improve the PSS Middle of Life. 4. Optimizing daily decisions related to service delivery and management, aimed at enhancing the PSS Middle of Life. 5. Facilitating informed decisions on recycling, remanufacturing, refurbishing, and revamping, impacting the PSS End of Life. This book will be of interest to researchers and managers in industry as it offers insights that bridge the gap between theory and practical application in the evolving landscape of PSS.

ISBN: 9783031600821

Standard No.: 10.1007/978-3-031-60082-1doiSubjects--Topical Terms:

647265
Industrial management
--Decision making.

LC Class. No.: HD30.23

Dewey Class. No.: 658.5

Data-driven decision making for product service systems
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505 0 $a Asset data driven design for PSS -- Asset/Maintenance -- Service Data Driven Design based on Simulation -- Validazione decisioni uomo tramite data-driven models -- PSS Digital Twin (Service delivery decision) -- Service report (Definition of the strategy for service data collection and analysis) -- Service data analysis -- Service Design -- Business Model -- Multi Attribute Decision Making models for design concept selection -- PSS ontology -- Lifecycle costing -- KPI (Improvement of the asset and service knowledge) -- Risk management/financial risk -- PSS and sustainability.
520 $a 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 (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. Therefore, the book significantly contributes to strengthening the knowledge on the use of data-driven decision-making methods and tools all the phases of the PSS lifecycle. From extended warranties and leasing to pay-per-use and other innovative configurations, manufacturing companies are increasingly adopting servitized business models and PSS to create additional value for their customers and users and create robust relationships with them, ensuring more reliable cash flows. In this setting, effective information management and the utilization of aggregated operational data have become essential for guiding strategic, tactical, and operational decisions. This book not only consolidates theoretical frameworks but also offers practical insights into data-driven decision-making in PSS, providing deep knowledge on how complex decisions can be taken along the various phases of the PSS lifecycle using data-driven methods and tools. Key areas of focus include: 1. In the Beginning of Life, introducing new services tailored to customer needs, disclosing new business opportunities in terms of revenues, and extending the PSS Middle of Life. 2. Designing or re-designing assets and/or services, thereby influencing the PSS Beginning of Life. 3. Enhancing daily decisions related to asset management to improve the PSS Middle of Life. 4. Optimizing daily decisions related to service delivery and management, aimed at enhancing the PSS Middle of Life. 5. Facilitating informed decisions on recycling, remanufacturing, refurbishing, and revamping, impacting the PSS End of Life. This book will be of interest to researchers and managers in industry as it offers insights that bridge the gap between theory and practical application in the evolving landscape of PSS.
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