A Platform to Support the Product Servitization

Nowadays manufacturers are forced to shift from their traditional product-manufacturing paradigm to the goods-services continuum by providing integrated combination of products and services. The adoption of service-based strategies is the natural consequence of the higher pressure that these companies are facing in the global markets especially due to the presence of competitors which operate in low wage region. By betting on services, or more specifically, on servitization manufacturing companies are moving up the value chain in order to move the competition from costs to sophistication and innovation. The proliferation of new emerging technologies and paradigms together with a wider dissemination of information technology (IT) can significantly improve the capability of manufacturing companies to infuse services in their own products. The authors present a knowledge-based and data-driven platform that can support the design and development of Product Extended by Services (PESs) solutions.

[1]  Jadwiga Indulska,et al.  Modeling Context Information in Pervasive Computing Systems , 2002, Pervasive.

[2]  T S Baines,et al.  State-of-the-art in product-service systems , 2007 .

[3]  Leilani Battle,et al.  Building the Internet of Things Using Rfid , 2009 .

[4]  Jose Barata,et al.  Enhancing device exchange agility in Service-oriented industrial automation , 2013, 2013 IEEE International Symposium on Industrial Electronics.

[5]  Jadwiga Indulska,et al.  A survey of context modelling and reasoning techniques , 2010, Pervasive Mob. Comput..

[6]  David J. Williams,et al.  The ManuFuture Road to High-Adding-Value Competitive Sustainable Manufacturing , 2008 .

[7]  Jose Barata,et al.  Is Ambient Intelligence a truly Human-Centric Paradigm in Industry? Current Research and Application Scenario , 2009 .

[8]  Francisco Curbera,et al.  Web Services Business Process Execution Language Version 2.0 , 2007 .

[9]  G. Lay,et al.  The relevance of service in European manufacturing industries , 2010 .

[10]  Giuditta Pezzotta,et al.  Towards a Lean Product Service Systems (PSS) Design: state of the art, opportunities and challenges , 2015 .

[11]  F. Iovane,et al.  The Manufuture road: towards competitive and stainable high-adding-value manufacturing , 2009 .

[12]  Klaus-Dieter Thoben,et al.  Interactions between Service and Product Lifecycle Management , 2015 .

[13]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .

[14]  José Barata,et al.  A Cloud-Based Infrastructure to Support Manufacturing Resources Composition , 2015, DoCEIS.

[15]  Gonçalo Moreira Cândido,et al.  Service-oriented architecture for device lifecycle support in industrial automation , 2013 .

[16]  S. Vandermerwe,et al.  Servitization of business : Adding value by adding services , 1988 .

[17]  Ezio Manzini,et al.  A strategic design approach to develop sustainable product service systems: examples taken from the ‘environmentally friendly innovation’ Italian prize , 2003 .

[18]  Keith Cheverst,et al.  UTILIZING CONTEXT HISTORY TO PROVIDE DYNAMIC ADAPTATIONS , 2004, Appl. Artif. Intell..

[19]  Dragan Stokic,et al.  Engineering methods and tools for collaborative development of industrial cyber-physical based products and services , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[20]  Hwaiyu Geng THE INDUSTRIAL INTERNET OF THINGS (IIoT) , 2017 .

[21]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[22]  Chai Xu-dong,et al.  Cloud manufacturing:a new service-oriented networked manufacturing model , 2010 .

[23]  Tim Baines,et al.  The servitization of manufacturing: A review of literature and reflection on future challenges , 2009 .

[24]  Gerhard Goos,et al.  Ambient Intelligence , 2015, Lecture Notes in Computer Science.

[25]  A. Hofmann,et al.  IT support of mechatronic networks: A brief survey , 2011, 2011 IEEE International Symposium on Industrial Electronics.

[26]  Muhammad Ashraf Shaheen,et al.  Data Mining Methodology in Perspective of Manufacturing Databases , 2010 .

[27]  Jun Du,et al.  Analytical affective design with ambient intelligence for mass customization and personalization , 2007 .

[28]  Cts Uninova The Adapter Module: a Building Block for Self-Learning Production Systems , 2014 .

[29]  Marko Becker,et al.  Service Oriented Architecture Concepts Technology And Design , 2016 .

[30]  Giovanni Di Orio Adapter module for self-learning production systems , 2013 .

[31]  T. D. Fletcher,et al.  Web Services Choreography Description Language Version 1.0, W3C , 2004 .

[32]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[33]  Donald K. Wedding,et al.  Discovering Knowledge in Data, an Introduction to Data Mining , 2005, Inf. Process. Manag..

[34]  José Barata,et al.  The impact of cloud manufacturing on supply chain agility , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[35]  A. Tukker,et al.  Product-services as a research field: past, present and future. Reflections from a decade of research , 2006 .