DocumentCode :
2332044
Title :
Rapid data modelling techniques in simulation of manufacturing systems
Author :
Liyanage, K. ; Perera, T.
Author_Institution :
Sheffield Hallam Univ., UK
fYear :
1997
fDate :
2-4 Apr 1997
Firstpage :
178
Lastpage :
182
Abstract :
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
Keywords :
digital simulation; IDEFIX; batch manufacturing; computer simulation; data manipulation; data modelling techniques; data organisation; data rationalisation; data sources; data validation; entity modelling; manufacturing systems; rapid data modelling techniques; reference data model;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Factory 2000 - The Technology Exploitation Process, Fifth International Conference on (Conf. Publ. No. 435)
Conference_Location :
Cambridge
ISSN :
0537-9989
Print_ISBN :
0-85296-682-2
Type :
conf
DOI :
10.1049/cp:19970141
Filename :
608062
Link To Document :
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