Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.cirp.2013.03.133
DC Field | Value | |
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dc.title | A novel facility layout planning and optimization methodology | |
dc.contributor.author | Jiang, S. | |
dc.contributor.author | Nee, A.Y.C. | |
dc.date.accessioned | 2014-06-16T09:32:49Z | |
dc.date.available | 2014-06-16T09:32:49Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Jiang, S., Nee, A.Y.C. (2013). A novel facility layout planning and optimization methodology. CIRP Annals - Manufacturing Technology 62 (1) : 483-486. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cirp.2013.03.133 | |
dc.identifier.issn | 00078506 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/54600 | |
dc.description.abstract | This paper presents a novel factory planning system for real-time on-site facility layout planning (FLP). Two facility layout planning modules are supported, viz.; manual and automatic. In this system, a fast modelling method has been developed where users can construct existing facilities as virtual primitive models. A criterion and constraint definition mechanism is provided to define and customize the planning criteria and constraints to suit specific requirements of different FLP tasks, and an Analytical Hierarchy Process-Genetic Algorithm (AHP-GA) based optimization scheme is adopted for automatic layout planning. Augmented reality (AR) is used to provide visualization of the layout process. © 2013 CIRP. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.cirp.2013.03.133 | |
dc.source | Scopus | |
dc.subject | Augmented reality | |
dc.subject | Facility layout planning | |
dc.subject | Manufacturing optimization | |
dc.type | Article | |
dc.contributor.department | MECHANICAL ENGINEERING | |
dc.description.doi | 10.1016/j.cirp.2013.03.133 | |
dc.description.sourcetitle | CIRP Annals - Manufacturing Technology | |
dc.description.volume | 62 | |
dc.description.issue | 1 | |
dc.description.page | 483-486 | |
dc.description.coden | CIRAA | |
dc.identifier.isiut | 000322555800120 | |
Appears in Collections: | Staff Publications |
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