Master Thesis MSTR-3233

BibliographyKnura, Martin: Identification and Visualization of Key Ecological Indicators.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 3233 (2011).
115 pages, english.
CR-SchemaD.2.2 (Software Engineering Design Tools and Techniques)
D.2.8 (Software Engineering Metrics)
D.4.8 (Operating Systems Performance)
H.4.1 (Office Automation)

Green IT is becoming an important issue in today’s organizations. Customers and Government force them more and more to exposure resources in a responsible and sustainable way. In order to positively improve their environmental impact, organizations need to optimize their business processes and infrastructure with respect to their Key Ecological Indicators (KIEs). However, current approaches do not cope with green aspects and the trade-off between economic and ecological indicators in an adequate fashion. As a first step, proper business process analysis along with “Business Dashboards” can help to identify and visualize different Key Ecological Indicators of an organization.

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Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Superviser(s)Nowak, Alexander
Entry dateNovember 23, 2011
   Publ. Institute   Publ. Computer Science