Abstract
This chapter addresses how visibility solutions based on Digital Product Memories (DPMs) developed in the SemProM project can be demonstrated in the logistics domain to guarantee carbon offset of transport and integrity control within supply chains. A demonstration system is presented to illustrate how a DPM can be used for computing, assessing, and reducing a product’s carbon footprint. In addition, semi-active and active RFID and sensor solutions developed to monitor product integrity are described. Finally, the SemProM browser is presented as a system for end-users to access product information and get visibility over product integrity.
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Notes
- 1.
The kind of emissions measured varies for each LCA type and might include thermal [g(CO2-eq)/MJth], energy intensity [W•hth/W•he] or electric [g(CO2-eq)/kW•he] measures.
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W. Wahlster (ed.), SemProM—Foundations of Semantic Product Memories for the Internet of Things. Cognitive Technologies (Springer, Berlin, 2013)
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Kückelhaus, M., Magerkurth, C., Baus, J. (2013). A SemProM Use Case: Tracking & Tracing for Green Logistics and Integrity Control. In: Wahlster, W. (eds) SemProM. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37377-0_19
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DOI: https://doi.org/10.1007/978-3-642-37377-0_19
Publisher Name: Springer, Berlin, Heidelberg
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