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Rapid data modelling techniques in simulation of manufacturing systems

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2 Author(s)
Liyanage, K. ; Sheffield Hallam Univ., UK ; Perera, T.

Despite widely reported successes in the use of computer simulation in manufacturing, there remain many fundamental issues to be addressed. One of the major issues in simulation projects is collection and analysis of input data. This activity encompasses the determination of the types of data required, identification of available data sources, gathering of data, rationalisation of data and validation. Typically, more than one third of the project time is spent on these tasks. Any reduction in the time taken for these tasks will enable the practitioners to build simulation models quickly. This paper presents the development of a data reference model which will assist practitioners to identify, their data requirements rapidly. A detailed entity model forms the core of this system. Limitations of simulation software with respect to data organisation and manipulation are discussed. Use of alternative data modelling techniques such as entity modelling and IDEFIX are also discussed in detail. A reference data model developed for the batch manufacturing sector is presented with a series of entity models. Data validation and rationalisation are also covered. Use of this reference model is presented with a few simulation applications

Published in:

Factory 2000 - The Technology Exploitation Process, Fifth International Conference on (Conf. Publ. No. 435)

Date of Conference:

2-4 Apr 1997