Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 12 of CSIMQ

Authors

  • Kurt Sandkuhl University of Rostock, Chair Business Information Systems, Albert-Einstein-Str. 22, 18059 Rostock

DOI:

https://doi.org/10.7250/csimq.2017-12.00

Keywords:

Scheduling, Business Process Management, RAMI 4.0, Enterprise Architecture, Smart Production, Organisational Learning, Systems Integration, Business and IT Alignment, Enterprise Modeling, Model Transformation

Abstract

Modeling is an important contribution to dealing with complexity in development and engineering processes. A model is a generalized representation of a piece of reality, with only those real‐world properties included which are relevant to the purpose of modelling. Models don’t remove the complexity of the real world but help to understand it and to design and develop solutions. All articles in this issue are in some respect concerned with models or modelling.

The articles in this issue also reflect recent trends in industry and society, such as digitization and industry 4.0, and show that these trends will not necessarily reduce complexity in systems but rather require the combination of proven approaches, such as modelling, and new methods for managing this complexity.

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Published

31.10.2017

How to Cite

Sandkuhl, K. (2017). Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 12 of CSIMQ. Complex Systems Informatics and Modeling Quarterly, 12, I-II. https://doi.org/10.7250/csimq.2017-12.00