Development of an intelligent manufacturing management simulation model: An application to the precast concrete industry

Hdl Handle:
http://hdl.handle.net/10149/109577
Title:
Development of an intelligent manufacturing management simulation model: An application to the precast concrete industry
Book Title:
Intelligent computing in engineering (ICE08) proceedings
Authors:
Dawood, N. N. (Nashwan); Al-Bazi, A. F. J. (Ammar)
Editors:
Rafiq, Y. (Yaqub); de Wilde, P. (Pieter); Borthwick, M. (Martin)
Affiliation:
University of Teesside
Citation:
Dawood, N. N. and Al-Bazi, A. F. J.(2008) 'Development of an intelligent manufacturing management simulation model: An application to the precast concrete industry', Intelligent Computing in Engineering (ICE08), Plymouth, July 2-4, in Rafiq, Y., de Wilde, P. and Borthwick, M. (eds) Intelligent computing in engineering (ICE08) proceedings. ASCE, pp.339-349.
Publisher:
American Society of Civil Engineers
Conference:
Intelligent Computing in Engineering (ICE08), Plymouth, July 2-4
Issue Date:
2008
URI:
http://hdl.handle.net/10149/109577
Additional Links:
http://www.eg-ice.org/Workshops/ICE08/default.htm
Abstract:
The aim of this ongoing research is to improve the performance of the precast concrete products manufacturing system through developing and testing an intelligent manufacturing management system. The objective is to develop and test an advanced evolutionary meta-heuristic approach embedded in simulation models applied in the precast concrete products manufacturing system. IDEF0, as a visual modelling tool is used to capture and understand the hierarchal relationships in the production processes. Precast product data has been collected with the assistance of an industrial partner. Discrete Event Simulation Methodology is adopted to convert the developed static modelling version of IDEF0 into a dynamic one. ARENA software is used to develop the production processes simulation model. The intelligent engine will be developed as a later stage beyond this research in order to enrich the simulation technique with more knowledge for a better searching. Precast concrete manhole has been chosen as a case study. Manhole Manufacturing Simulation System (MMSS) is developed as a test bed for the proposed intelligent engine. Many scenarios are run to determine the impact of different decision variables on main production process parameters.
Type:
Meetings and Proceedings; Book Chapter
Language:
en
Keywords:
precast concrete products; process mapping; discrete event simulation modelling; manhole manufacturing system; meta-heuristic approach
ISBN:
9781841021911
Rights:
Subject to restrictions, author can archive post-print. For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 13/08/2010]
Citation Count:
0 [Web of Science and Scopus, 13/08/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorDawood, N. N. (Nashwan)en
dc.contributor.authorAl-Bazi, A. F. J. (Ammar)en
dc.contributor.editorRafiq, Y. (Yaqub)en
dc.contributor.editorde Wilde, P. (Pieter)en
dc.contributor.editorBorthwick, M. (Martin)en
dc.date.accessioned2010-08-13T14:48:32Z-
dc.date.available2010-08-13T14:48:32Z-
dc.date.issued2008-
dc.identifier.isbn9781841021911-
dc.identifier.urihttp://hdl.handle.net/10149/109577-
dc.description.abstractThe aim of this ongoing research is to improve the performance of the precast concrete products manufacturing system through developing and testing an intelligent manufacturing management system. The objective is to develop and test an advanced evolutionary meta-heuristic approach embedded in simulation models applied in the precast concrete products manufacturing system. IDEF0, as a visual modelling tool is used to capture and understand the hierarchal relationships in the production processes. Precast product data has been collected with the assistance of an industrial partner. Discrete Event Simulation Methodology is adopted to convert the developed static modelling version of IDEF0 into a dynamic one. ARENA software is used to develop the production processes simulation model. The intelligent engine will be developed as a later stage beyond this research in order to enrich the simulation technique with more knowledge for a better searching. Precast concrete manhole has been chosen as a case study. Manhole Manufacturing Simulation System (MMSS) is developed as a test bed for the proposed intelligent engine. Many scenarios are run to determine the impact of different decision variables on main production process parameters.en
dc.language.isoenen
dc.publisherAmerican Society of Civil Engineersen
dc.relation.urlhttp://www.eg-ice.org/Workshops/ICE08/default.htmen
dc.rightsSubject to restrictions, author can archive post-print. For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 13/08/2010]en
dc.subjectprecast concrete productsen
dc.subjectprocess mappingen
dc.subjectdiscrete event simulation modellingen
dc.subjectmanhole manufacturing systemen
dc.subjectmeta-heuristic approachen
dc.titleDevelopment of an intelligent manufacturing management simulation model: An application to the precast concrete industryen
dc.typeMeetings and Proceedingsen
dc.typeBook Chapteren
dc.contributor.departmentUniversity of Teessideen
dc.title.bookIntelligent computing in engineering (ICE08) proceedings-
dc.identifier.conferenceIntelligent Computing in Engineering (ICE08), Plymouth, July 2-4en
ref.citationcount0 [Web of Science and Scopus, 13/08/2010]en
or.citation.harvardDawood, N. N. and Al-Bazi, A. F. J.(2008) 'Development of an intelligent manufacturing management simulation model: An application to the precast concrete industry', Intelligent Computing in Engineering (ICE08), Plymouth, July 2-4, in Rafiq, Y., de Wilde, P. and Borthwick, M. (eds) Intelligent computing in engineering (ICE08) proceedings. ASCE, pp.339-349.-
prism.startingPage339-
prism.event349-
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