Methodology for rapid identification and collection of input data in the simulation of manufacturing systems

Hdl Handle:
http://hdl.handle.net/10545/621222
Title:
Methodology for rapid identification and collection of input data in the simulation of manufacturing systems
Authors:
Perera, Terrence; Liyanage, Kapila
Abstract:
Computer simulation is a well-established decision support tool in the manufacturing industry. The rapid development and deployment of simulation models however, are inhibited by factors such as inefficient data collection, lengthy model documentation, and poorly planned experimentation. Typically, more than one third of project time is spent on identification, collection, validation, and analysis of input data. Whilst most research work has been focused on statistical techniques for data analysis, less attention has been paid to the development of systematic approaches to input data gathering. This paper presents a methodology for rapid identification and collection of input data in batch manufacturing environments. A functional module library and a reference data model, both developed using the IDEF (Integrated computer aided manufacturing DEFinition) 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. (2000) 'Methodology for rapid identification and collection of input data in the simulation of manufacturing systems', Simulation Practice and Theory, 7 (7):645.
Publisher:
Elsevier
Journal:
Simulation Practice and Theory
Issue Date:
Feb-2000
URI:
http://hdl.handle.net/10545/621222
DOI:
10.1016/S0928-4869(99)00020-8
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0928486999000208
Type:
Article
Language:
en
ISSN:
09284869
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.accessioned2017-01-05T11:56:30Z-
dc.date.available2017-01-05T11:56:30Z-
dc.date.issued2000-02-
dc.identifier.citationPerera, T. and Liyanage, K. (2000) 'Methodology for rapid identification and collection of input data in the simulation of manufacturing systems', Simulation Practice and Theory, 7 (7):645.en
dc.identifier.issn09284869-
dc.identifier.doi10.1016/S0928-4869(99)00020-8-
dc.identifier.urihttp://hdl.handle.net/10545/621222-
dc.description.abstractComputer simulation is a well-established decision support tool in the manufacturing industry. The rapid development and deployment of simulation models however, are inhibited by factors such as inefficient data collection, lengthy model documentation, and poorly planned experimentation. Typically, more than one third of project time is spent on identification, collection, validation, and analysis of input data. Whilst most research work has been focused on statistical techniques for data analysis, less attention has been paid to the development of systematic approaches to input data gathering. This paper presents a methodology for rapid identification and collection of input data in batch manufacturing environments. A functional module library and a reference data model, both developed using the IDEF (Integrated computer aided manufacturing DEFinition) 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.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0928486999000208en
dc.rightsArchived with thanks to Simulation Practice and Theoryen
dc.subjectSimulationen
dc.subjectInput data modellingen
dc.subjectIntegrated computer aided manufacturing definitionen
dc.titleMethodology for rapid identification and collection of input data in the simulation of manufacturing systemsen
dc.typeArticleen
dc.contributor.departmentSheffield Hallam Universityen
dc.identifier.journalSimulation Practice and Theoryen
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