Systematic Aggregation of Multiple Views onto a ...
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Systematic Aggregation of Multiple Views onto a ...
âbusiness objectsâ. âbusiness objectâ starts âtaskâ. Task B. Task B. This aggregate relation is computed via two intermediate domains: XOR. âconnectorsâ and.
Systematic Aggregation of Multiple Views onto a Complex System as Individual Design Structure Matrices M. Kreimeyer, N. Bradford, S. Langer, W. Biedermann, U. Lindemann
Scope of this research Extracting the knowledge about the process • Complexity of process network too high for manual interaction • Focused and balanced improvement hard to judge • Comprehensive identification of possible weak spots difficult • Several domains together form a network, consisting of several views • Entities cannot be compared directly across domains Goals of this research • Generate singular views onto domains • Avoid simplification to represent factual complexity of process • Enable the identification of structural patterns and their significance
This aggregate relation is computed via two intermediate domains:
Business object 2
Business object 3
Task C
Task D
„connectors“ and „business objects“
Task C
Task D
5/2010
Boundary conditions for solution design Different kinds of networks • Intra-domain (e.g. DSM) • Inter-domain (e.g. DMM) • Multiple-domain (e.g. MDM) à These networks can be the input and the output Different kinds of relationship types • Directed / undirected • Simple / weighted / multigraphs à The solution needs to be able to work with these types
Based on system-graph of process (=meta-model) Aggregation strategy works at metalevel and is then implemented
Steps 1) Designate target domain of aggregation, e.g. tasks 2) Designate type of aggregation, e.g. path searching 3) Find possible paths e.g. searching cycles in meta-model 4) Compute relationships e.g. through matrix multiplication
8/2010
A particularity of the example: Coexisting paths
Superposition
Path searching (three outgoing and three incident possibilities for targeted domain)
„Task generates business object that is input for task“ ~ “Task precedes task”
9/2010
Resulting graph • • •
Graph with 160 tasks, connecting them via intermediate documents Representation e.g. as DSM possible Grants access to e.g. clustering, sequencing and other analyses
Conclusion Reflexion • Aggregation enables analysis of large networks by providing more condensed „aggregate views“ • Aggregate views reduce number of domains without ignoring structure of overall network • Aggregate views enable the application of existing analysis strategies without running danger of comparing apples and oranges Deficits and future work • Purposeful choice of aggregation strategies still not unclear • Treating aggregate relationship types not systematically supported • Support of sometimes very densely connected resulting aggregate views still poses problems
