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Data-Driven Decision Making for Product Service Systems
University of Bergamo, Italy.ORCID iD: 0000-0001-7983-8356
University of Bergamo, Italy.ORCID iD: 0000-0001-7671-6927
Ecole Nationale Supérieure des Mines de Saint-Etienne, France.ORCID iD: 0000-0002-0869-4153
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-5076-3300
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2024 (English)Collection (editor) (Other academic)
Abstract [en]

 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.

Place, publisher, year, edition, pages
Springer, 2024. , p. 292
Keywords [en]
Data Driven Decision Making, Servitization, Digitalization, PSS Lifecycle, Product Service System
National Category
Other Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-26701DOI: 10.1007/978-3-031-60082-1Scopus ID: 2-s2.0-85208896092ISBN: 978-3-031-60081-4 (print)ISBN: 978-3-031-60084-5 (print)ISBN: 978-3-031-60082-1 (electronic)OAI: oai:DiVA.org:bth-26701DiVA, id: diva2:1882924
Available from: 2024-07-08 Created: 2024-07-08 Last updated: 2024-11-22Bibliographically approved

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Bertoni, Marco

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