CaPLIM: The Next Generation of Product Lifecycle Information Management?

Product Lifecycle Information Management (PLIM) aims to enable all participants and decision-makers to have a clear, shared understanding of the product lifecycle, and to get feedback on product use conditions. Each product, whether as a physical or virtual product is designed to provide a range of services aimed at supporting daily activities of each product stakeholder (e.g., designers, manufacturers, distributors, users, repairers, or still recyclers). Such services are usually considered once, where parameters are fine-tuned once and for all. A future generation of services could attempt to self-adapt to the product context by discovering and exchanging helpful information with other devices and systems within its direct or indirect surrounding. The so-called Internet of Things (IoT) is a tremendous opportunity to support the development of such a new generation of services by taking advantage of powerful concepts such as context-awareness. Embedding context-awareness into the product is a possible solution to learn about the product's context and to make appropriate decisions. However, today, this is not enough because of the large number of objects, systems, networks, and users comprising the IoT that require, more than ever before, standardized ways and interfaces to exchange all kinds of information between all kinds of devices. In an IoT context, this paper opens up new research directions for providing a new generation of PLIM services by investigating context-awareness. The combination of these two visions is referred to as CaPLIM (Context-awareness & PLIM), whose originality lies in the fact that it takes maximum advantage of IoT standards, and particularly of the recent Quantum Lifecycle Management (QLM) standard proposal.

[1]  Lorraine Lee,et al.  Radio frequency identification (RFID) implementation in the service sector: A customer-facing diffusion model , 2008 .

[2]  Bill N. Schilit,et al.  Disseminating active map information to mobile hosts , 1994, IEEE Network.

[3]  Jan Holmström,et al.  Sustainable PLM through Intelligent Products , 2013, Eng. Appl. Artif. Intell..

[4]  Kary Främling,et al.  Standardized Communication Between Intelligent Products for the IoT* , 2013 .

[5]  Carlo Batini,et al.  Methodologies for data quality assessment and improvement , 2009, CSUR.

[6]  Chien Yaw Wong,et al.  Information management in the product lifecycle - the role of networked RFID , 2004, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004.

[7]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[8]  Y. Asiedu,et al.  Product life cycle cost analysis: State of the art review , 1998 .

[9]  Dimitris Kiritsis,et al.  Research issues on product lifecycle management and information tracking using smart embedded systems , 2003, Adv. Eng. Informatics.

[10]  Arturo Molina,et al.  Enterprise integration and interoperability in manufacturing systems: Trends and issues , 2008, Comput. Ind..

[11]  Duncan C. McFarlane,et al.  Product intelligence in industrial control: Theory and practice , 2013, Annu. Rev. Control..

[12]  Luk N. Van Wassenhove,et al.  Closed-Loop Supply Chains , 2011 .

[13]  Tran Cao Son,et al.  Semantic Web Services , 2001, IEEE Intell. Syst..

[14]  John Stark,et al.  Product lifecycle management : 21st century paradigm for product realisation , 2005 .

[15]  David L. Martin,et al.  Semantic Web Services , 2012, Springer Berlin Heidelberg.

[16]  Jan Holmström,et al.  Intelligent Products: A survey , 2009, Comput. Ind..

[17]  Harry Chen,et al.  An ontology for context-aware pervasive computing environments , 2003, The Knowledge Engineering Review.

[18]  Paolo Bellavista,et al.  A survey of context data distribution for mobile ubiquitous systems , 2012, CSUR.

[19]  Lutz Kolbe,et al.  Information Security in the Extended Enterprise: A Research Agenda , 2007, AMCIS.

[20]  D. Tranfield,et al.  Developing Design Propositions through Research Synthesis , 2008 .

[21]  Arkady B. Zaslavsky,et al.  Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[22]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[23]  Mark Harrison The 'Internet of Things' and commerce , 2011, XRDS.

[24]  James M. Utterback,et al.  A dynamic model of process and product innovation , 1975 .

[25]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..