Please use this identifier to cite or link to this item: https://doi.org/10.1109/WSC.2006.322957
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dc.titleA simulation-ga based model for production planning in precast plant
dc.contributor.authorZhai, X.
dc.contributor.authorTiong, R.L.K.
dc.contributor.authorBjornsson, H.C.
dc.contributor.authorChua, D.K.H.
dc.date.accessioned2014-06-19T05:48:18Z
dc.date.available2014-06-19T05:48:18Z
dc.date.issued2006
dc.identifier.citationZhai, X., Tiong, R.L.K., Bjornsson, H.C., Chua, D.K.H. (2006). A simulation-ga based model for production planning in precast plant. Proceedings - Winter Simulation Conference : 1796-1803. ScholarBank@NUS Repository. https://doi.org/10.1109/WSC.2006.322957
dc.identifier.isbn1424405017
dc.identifier.issn08917736
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/74039
dc.description.abstractPlanning plays an important role in precast production management. In practice, however, this work is primarily carried out on a rule-of-thumb basis. A specialized planning model based on simulation technique and genetic algorithm (GA) is presented in this paper for make-to-order precast production. A novel priority rule, the critical precast component (CP) rule, is established for mold considerations during simulation, and a bi-directional simulation is adopted to reduce excessive overtime and precast stock. On this basis, three simulation approaches are designed using different simulation heuristics and directions. To test the validity of the proposed model with different approaches, a planning experiment is carried out. By comparison, it is clear that the Simulation-GA based model using CP rule and bi-directional simulation can generate a satisfying resource plan and production schedule. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/WSC.2006.322957
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1109/WSC.2006.322957
dc.description.sourcetitleProceedings - Winter Simulation Conference
dc.description.page1796-1803
dc.description.codenWSCPD
dc.identifier.isiut000246261203055
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