Auflistung nach Autor:in "Meyerholt, Daniel"
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- KonferenzbeitragFoundations for an IT-based Solution Manager for the Planning of Bio Energy Networks(Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Giesen, Nils; Meyerholt, DanielThe recent and mid-term development in the national and international energy production was influenced toward a more environmental friendly as well as sustainable way of energy generation. Beside the development for distributed singular electricity generation systems, there is an ongoing process of professionalization and wider distribution of bio energy throughout the whole energy sector. As the growing or gathering of bio mass as well as the methods of distribution and usage of the energy products (gas, heat, and electricity) are very manifold, early and comprehensive support in diverse decision processes regarding the Bio Energy Networks is needed. Methodical support is needed in different phases connected to these networks: Planning, Rating, Evaluation, Comparison and Communication of different alternatives (PRECC-Principle). To enable stakeholders of bio energy networks in applying the PRECC-Principle, IT-based support with a modular software framework is needed. This concept for a framework can be derived
- KonferenzbeitragIdentifying Information with Environmental Relevance in Web Sites of the Public Administration Using Automatic Classification(Innovations in Sharing Environmental Observations and Information, 2011) Schenk, Franz; Meyerholt, DanielAbstract The German environmental information portal PortalU is a publicly financed information infrastructure. It offers a single point of entry for searches on all kinds of information with environmental relevance held by public authorities. From the point of view of the query facility in PortalU, all information sources can be treated uniformly based on the common structure of the search results. One of the key problems in PortalU is how to ensure the relevance of data that is available in a distributed index structure. Whereas some data sources, e.g. metadata catalogues, typically contain only highly relevant material with respect to the content model of PortalU, other data sources like Web indexes tend to contain more heterogeneous material. In this paper we describe how automatic classification of Web pages can be used in order to provide information with a high degree of environmental relevance.
- KonferenzbeitragModeling Sustainable Supply Chains using the OEPI Project(EnviroInfo Dessau 2012, Part 2: Open Data and Industrial Ecological Management, 2012) Meyerholt, DanielThe relevance of Corporate Environmental Management Information Systems (CEMIS) is not limited anymore to the task of fulfilling legal requirements or providing annual sustainability reports. Current research trends in managing sustainability information tend to integrate these information back into corporate information systems (Meyerholt/Marx Gómez/Dada/Bremer/Rapp 2010). This offers unique possibilities to bring sustainability really into daily business process like production and procurement and to improve the overall sustainability performance of organizations. Managing sustainability information thereby extends its focus of being only a strategic tool right into the operative business. This can clearly been seen in the example of green product design, where environmental information is a crucial aspect. Especially larger companies need to consider more and more their whole supply chain in an inter- and intraorganiza-tional way when it comes to monitoring, capturing, managing and using sustainability information. For example the optimization of the supply chains at Wal-Mart provides great opportunities to improve the environmental performance and furthermore to save large amounts of money (Plambeck 2007). The business processes of a company therefore are clearly not limited anymore to the specific company but needs to address the whole supply chain. Most of the current CEMIS solutions do not provide the means of handling these information. The EU funded project “Organizational Environmental Performance Indicators” (http://www.oepi-project.eu/) provides a framework for managing key performance indicators in network-oriented approach and so allows to include companies across a whole supply chain to provide and manage their data. In this concept paper, the possible usage of OEPI’s concepts, data models and ontology for the task of modeling a sustainable supply chain is examined. Beginning with the foundations of sustainable supply chain management as well as OEPI’s approaches, a possible implementation of supply chain modeling using OEPI is presented. Shortcomings of the current OEPI framework are highlighted as well as the next steps in fulfilling the task.