Input data management in simulation : industrial practices and future trends

SKOOGH, A., PERERA, Terrence and JOHANSSON, B. (2012). Input data management in simulation : industrial practices and future trends. Simulation Modelling Practice and Theory, 29, 181-192.

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Discrete Event Simulation has been acknowledged as a strategically important tool in the development and improvement of production systems. However, it appears that companies are failing to reap full benefits of this powerful technology as the maintenance of simulation models has become very time-consuming, particularly due to vast amounts of data to be handled. Hence, an increased level of automation of input data handling is highly desirable. This paper presents the current practices relating to input data management and identifies further research and development required to achieve high levels of automation. A survey of simulation users shows that there has been a progress in the use of automated solutions compared to a similar study presented by Robertson and Perera in 2002. The results, however, reveal that around 80% of the users still rely on highly manual work procedures in input data management.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Systems Modelling and Integration Group
Identification Number:
Page Range: 181-192
Depositing User: Hilary Ridgway
Date Deposited: 25 Sep 2012 13:08
Last Modified: 18 Mar 2021 10:30

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