Demonstrating the Application of Digital Product Memories in a Carbon Footprint Scenario

Alexander Kröner, Gerrit Kahl, Lübomira Spassova, Thomas Feld, Dirk Mayer, Carsten Magerkurth, Ali Dada

In: Vic Callaghan, Achilles Kameas, Simon Egerton, Ichiro Satoh, Michael Weber (editor). Proceedings of the Sixth International Conference on Intelligent Environments. International Conference on Intelligent Environments (IE-10) July 19-21 Kuala Lumpur Malaysia Pages 164-169 ISBN 978-0-7695-4149-5 IEEE Computer Society 2010.


The carbon footprint is an environment indicator, which is of special interest not only for assessing and optimizing production and logistic processes, but also for addressing a growing interest of customers in the ecologic characteristics of a product. Its computation and processing are tightly bound to research challenges, such as the capturing and exploration of item-level data, and the aggregation of item-level process instances. In this article, we report about a demonstration system, which aims at illustrating visitors of a technology fair how these challenges can be addressed by means of item-level records created from input obtained via smart labels. In a scenario spanning several steps of a product's lifecycle, the system enables the creation and exploitation of these records. During each stage, the system combines item-level data with more general information related, e.g., to the product class and the underlying process model - with the ultimate goal not only to support the assessment of an item's carbon footprint, but also its reduction for future products of the same class.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz