An Object Memory Modeling Approach for Product Life Cycle Applications
J. Neidig, and P. Stephan. Workshops Proceedings of the 5th International Conference on Intelligent Environments, volume 4 of Ambient Intelligence and Smart Environments, page 27--32. Amsterdam, IOS Press, (2009)
DOI: 10.3233/978-1-60750-056-8-27
Abstract
Today, industrial production and supply chains are facing increased demands regarding flexibility and transparency of processes, caused by a trend for mass-customization and increasingly tighter regulations for the traceability of goods. To fulfill such challenging market demands, auto-ID technologies and semantic product descriptions are becoming part of future value chains. In this paper a modelling approach for a digital object memory (DOM) allowing for the attachment of product life cycle (PLC) information to everyday objects is presented. After reporting on the design aims, memory architecture and data structure, potential benefits of the chosen approach are presented.
%0 Conference Paper
%1 NeidigStephan09IE-WS
%A Neidig, Jörg
%A Stephan, Peter
%B Workshops Proceedings of the 5th International Conference on Intelligent Environments
%C Amsterdam
%D 2009
%E Schneider, Michael
%E Kröner, Alexander
%E Encinas Alvarado, Julio C.
%E Higuera, Andres Garcia
%E Augusto, Juan C.
%E Cook, Diane J.
%E Ikonen, Veikko
%E Cech, Pavel
%E Mikulecký, Peter
%E Kameas, Achilles
%E Callaghan, Vic
%I IOS Press
%K 01801 paper dfki embedded ai semantic product information zzz.iot
%P 27--32
%R 10.3233/978-1-60750-056-8-27
%T An Object Memory Modeling Approach for Product Life Cycle Applications
%V 4
%X Today, industrial production and supply chains are facing increased demands regarding flexibility and transparency of processes, caused by a trend for mass-customization and increasingly tighter regulations for the traceability of goods. To fulfill such challenging market demands, auto-ID technologies and semantic product descriptions are becoming part of future value chains. In this paper a modelling approach for a digital object memory (DOM) allowing for the attachment of product life cycle (PLC) information to everyday objects is presented. After reporting on the design aims, memory architecture and data structure, potential benefits of the chosen approach are presented.
@inproceedings{NeidigStephan09IE-WS,
abstract = {Today, industrial production and supply chains are facing increased demands regarding flexibility and transparency of processes, caused by a trend for mass-customization and increasingly tighter regulations for the traceability of goods. To fulfill such challenging market demands, auto-ID technologies and semantic product descriptions are becoming part of future value chains. In this paper a modelling approach for a digital object memory (DOM) allowing for the attachment of product life cycle (PLC) information to everyday objects is presented. After reporting on the design aims, memory architecture and data structure, potential benefits of the chosen approach are presented.},
added-at = {2018-02-11T20:00:09.000+0100},
address = {Amsterdam},
author = {Neidig, J\"{o}rg and Stephan, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2fc5d4dc71748b01b7f703b98caa17887/flint63},
booktitle = {Workshops Proceedings of the 5th International Conference on Intelligent Environments},
crossref = {IE2009WS},
doi = {10.3233/978-1-60750-056-8-27},
editor = {Schneider, Michael and Kr\"{o}ner, Alexander and Encinas Alvarado, Julio C. and Higuera, Andres Garcia and Augusto, Juan C. and Cook, Diane J. and Ikonen, Veikko and {\v{C}}ech, Pavel and Mikuleck\'{y}, Peter and Kameas, Achilles and Callaghan, Vic},
file = {Preprint:2009/NeidigStephan09IE-WS.pdf:PDF},
groups = {public},
interhash = {732a7501d9c4759e5863e9022f679295},
intrahash = {fc5d4dc71748b01b7f703b98caa17887},
issn = {1875-4163},
keywords = {01801 paper dfki embedded ai semantic product information zzz.iot},
pages = {27--32},
publisher = {IOS Press},
series = {Ambient Intelligence and Smart Environments},
timestamp = {2018-04-16T12:03:24.000+0200},
title = {An Object Memory Modeling Approach for Product Life Cycle Applications},
username = {flint63},
volume = 4,
year = 2009
}