The introduction to DSM will present DSM formally. A short overview on the basic structures that DSM can produce is given to generate the basic building blocks of a complete DSM.
The first part is aimed to familiarize you with the basic know-how of interacting with DSMs:
- DSM can be classified in different ways. The section on different DSM types will show the characterizing aspects of a DSM and how these are commonly applied to classify basic DSMs.
- To read a DSM, the two prevailing conventions are presented in this section.
- The section on building and creating the DSM will provide you with the complete overview on dos and don’ts to start building a system descrription using DSM.
The lower part is dedicated to the analysis of DSMs:
- Partitioning a DSM will let you generate an ideal sequence of the elements in the DSM. Different algorithms are explained.
- Tearing a DSM is intended to reduce the number of feedback loops. It will help you identify improvement potentials in any flow-oriented DSM.
- Banding a DSM helps you to identify sets of independent elements and shows the adequate algorithms.
- DSM Clustering is menat to to obtain blocks or modules that can be used e.g. in a modularization strategy.
Ultimately, the sections on numerical DSMs help you refine your model, and the advanced numerical DSM techniques provide a short outlook on what other possibilities DSMs offer to better understand a complex system.
This tutorial was made possible with the help of:
Wieland Biedermann, Tyson Browning, Steven Eppinger, Matthias Kreimeyer, and Maik Maurer.