Digital Library of the European Council for Modelling and Simulation

Title:	A Methodological Approach To Improve Knowledge Explication From Logistics Simulation Projects
Authors:	Gaby Neumann
Published in:	(2006).ECMS 2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European Council for Modeling and Simulation. doi:10.7148/2006 ISBN: 0-9553018-0-7 20^th European Conference on Modelling and Simulation, Bonn, May 28-31, 2006
Citation format:	Neumann, G. (2006). A Methodological Approach To Improve Knowledge Explication From Logistics Simulation Projects. ECMS 2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel (pp. 405-412). European Council for Modeling and Simulation. doi:10.7148/2006-0405
DOI:	http://dx.doi.org/10.7148/2006-0405
Abstract:	One of today’s challenges consists in seeing simulation in the context of human-centered processes. This requires understanding simulation as complex problemsolving, knowledge-generation and learning process but simultaneously as tool to support teaching and subject of knowledge application. Hence, the paper applies a knowledge management perspective to logistics simulation projects. Knowledge flows in the course of a project are analyzed and a method for continuous knowledge documentation is introduced to enable human resources involved in a simulation project to act properly as knowledge stakeholders and knowledge users to the benefit of the project; and also to strengthen the other role of simulation – to be a very valuable methodology and tool for the acquisition and storage of knowledge about the structure and organization of logistics systems and about processes of lasting effect for running, maintaining or even re-designing them. Finally, the vision of an automatically generated simulation project report is developed. With this, the paper describes ongoing research the results of which will not only be relevant to logistics simulation but applicable to other application areas of simulation, too.
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