Hdl Handle:
http://hdl.handle.net/10545/621221
Title:
IDEF based methodology for rapid data collection
Authors:
Perera, Terrence; Liyanage, Kapila
Abstract:
In recent years, computer simulation has become a mainstream decision support tool in manufacturing industry. In order to maximise the benefits of using simulation within businesses simulation models should be designed, developed and deployed in a shorter time span. A number of factors, such as excessive model details, inefficient data collection, lengthy model documentation and poorly planned experiments, increase the overall lead time of simulation projects. Among these factors, input data modelling is seen as a major obstacle. Input data identification, collection, validation, and analysis, typically take more than one‐third of project time. This paper presents a IDEF (Integrated computer‐aided manufacturing DEFinition) based approach to accelerate identification and collection of input data. The use of the methodology is presented through its application in batch manufacturing environments. A functional module library and a reference data model, both developed using the IDEF family of constructs, are the core elements of the methodology. The paper also identifies the major causes behind the inefficient collection of data.
Affiliation:
Sheffield Hallam University
Citation:
Perera, T. and Liyanage, K. (2001) "IDEF based methodology for rapid data collection", Integrated Manufacturing Systems, Vol. 12 Iss: 3, pp.187 - 194
Publisher:
Emerald
Journal:
Integrated Manufacturing Systems
Issue Date:
2001
URI:
http://hdl.handle.net/10545/621221
DOI:
10.1108/09576060110391147
Additional Links:
http://www.emeraldinsight.com/doi/full/10.1108/09576060110391147
Type:
Article
Language:
en
ISSN:
09576061
Sponsors:
N/A
Appears in Collections:
Department of Mechanical Engineering & the Built Environment

Full metadata record

DC FieldValue Language
dc.contributor.authorPerera, Terrenceen
dc.contributor.authorLiyanage, Kapilaen
dc.date.accessioned2017-01-04T15:27:23Z-
dc.date.available2017-01-04T15:27:23Z-
dc.date.issued2001-
dc.identifier.citationPerera, T. and Liyanage, K. (2001) "IDEF based methodology for rapid data collection", Integrated Manufacturing Systems, Vol. 12 Iss: 3, pp.187 - 194en
dc.identifier.issn09576061-
dc.identifier.doi10.1108/09576060110391147-
dc.identifier.urihttp://hdl.handle.net/10545/621221-
dc.description.abstractIn recent years, computer simulation has become a mainstream decision support tool in manufacturing industry. In order to maximise the benefits of using simulation within businesses simulation models should be designed, developed and deployed in a shorter time span. A number of factors, such as excessive model details, inefficient data collection, lengthy model documentation and poorly planned experiments, increase the overall lead time of simulation projects. Among these factors, input data modelling is seen as a major obstacle. Input data identification, collection, validation, and analysis, typically take more than one‐third of project time. This paper presents a IDEF (Integrated computer‐aided manufacturing DEFinition) based approach to accelerate identification and collection of input data. The use of the methodology is presented through its application in batch manufacturing environments. A functional module library and a reference data model, both developed using the IDEF family of constructs, are the core elements of the methodology. The paper also identifies the major causes behind the inefficient collection of data.en
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherEmeralden
dc.relation.urlhttp://www.emeraldinsight.com/doi/full/10.1108/09576060110391147en
dc.subjectSimulationen
dc.subjectModellingen
dc.subjectComputer-aided manufacturingen
dc.subjectData collectionen
dc.titleIDEF based methodology for rapid data collectionen
dc.typeArticleen
dc.contributor.departmentSheffield Hallam Universityen
dc.identifier.journalIntegrated Manufacturing Systemsen
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