Model representation methods in simulation of manufacturing systems

SCHORMANN, F. and PERERA, T. (1998). Model representation methods in simulation of manufacturing systems. In: INTERNATIONAL CONFERENCE ON SIMULATION '98, UNIV YORK, YORK, ENGLAND, SEP 30-OCT 02, 1998. 292-296.

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A recent survey of simulation practitioners revealed that they hardly use any formal model representation techniques prior to construction of computer models. Data and operating logic of the system under investigation is directly represented in the computer model. Although this may shorten the model building time in the short term, a poorly detailed and documented model can cause problems in the long term. For example, subsequent changes to the model become difficult as the modeller need to interpret the logic by reverse engineering the computer model. Therefore, it is beneficial to document the knowledge gathered during the first analysis of the system and its subsequent model changes. This paper presents alternative model representation methods suitable for manufacturing system modelling and an approach to identify an appropriate representation method for a given class of system features. Reported model representation methods were studied to identify a set of suitable methods for manufacturing applications. A comprehensive list of criteria was developed to benchmark these methods. For example factors such as: Abstraction level Re-usability Convertibility into other methods and Level of detail have been included in this process. By analysing a variety of manufacturing systems, core sets of features have been identified to represent system behaviour. By combining these features a series of reference models were built to represent systems with varying operating complexities. The representation methods identified above have been evaluated using reference models. The paper will include the results of this analysis.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Times Cited: 1 International Conference on Simulation SEP 30-OCT 02, 1998 UNIV YORK, YORK, ENGLAND
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
Page Range: 292-296
Depositing User: Danny Weston
Date Deposited: 13 Apr 2010 13:02
Last Modified: 18 Mar 2021 08:31

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