Modeling Methodologies and Tools

A) The case study represented in Fig. 6.1 by column (b) uses one and the studies of column (c) and (d) use another specification methodology and tool implementation machinery, namely NATURE (b), see Sects. 3.1 and 6.2, and Graph Transformation for (c) and (d), see Sects. 3.2, 6.3 and 3.4, 6.4. Hence, these conceptual realization models differ tremendously. In the Graph Transformation approach (columns (c) and (d)), we specify tool behavior by corresponding before/after states of a document s internal form. Accordingly the description is an abstract implementation. 

The updated model focuses on a volume which includes the tunnel spiral and will be contained within a cube having a 1 km side length, extending from the surface to 1000 m depth. This volume is to be linked to the earlier model (Rhen et al. 1997). Additionally, the development and refinement of the methodology and tools for geoscientific model construction will support the geoscientific characterization of a future repository site. 

The term modeling covers widely different calculational (computer-aided) methodologies and tools used to handle complex sets of equations and large numbers of iterative calculations. We have chosen to include three such modeling issues in this section, although they may have little in common in aim, methodology, and computer intensiveness Defect structures, flux systems, and atomic simulations. 

The specific purpose is to (a) develop methodology and tools for supply chain reconfiguration, (b) elaborate framework for knowledge-based problem analysis and model building, and (c) quantify factors influencing supply chain reconfiguration. 

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