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Concept for a simulation model to analyze knowledge conversions within the product development process
Laukemann, Alexander; Binz, Hansgeorg; Roth, Daniel
Type:
Year:
2017
Editor:
Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author:
Series:
ICED
Institution:
University of Stuttgart, Germany
Section:
Design Information and Knowledge
Page(s):
021-030
ISBN:
978-1-904670-94-0
ISSN:
2220-4342
Abstract:
Business Process Management (BPM) has been established in industrial environments for decades. In the course of progressive information technology support, the research of BPM benefits from the advantages of digital process modeling and its tools. The results are complex and unclear process models, which should rather increase process transparency and be analyzable. Nevertheless, digital process models remain indispensable, particularly when information and knowledge-intensive processes are to be analyzed. The modeling language "Knowledge Modeling and Description Language" provides different views and objects to establish a valid digital process model. The advantage as well as disadvantage – is the modeling of information flows and knowledge conversions, which are interlinked and complex. The presented concept for a simulation model aims to overcome this contradiction and provide quantitative analyses of digital process models. The analytical results can be compared with existing qualitative analyses and used for a holistic investigation of the simulated process. In this way, target-oriented support from suitable knowledge management solutions can be purposefully compiled.
Keywords:
