Please use this identifier to cite or link to this item: https://doi.org/10.1007/s001700170022
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dc.titleA branch and bound algorithm based process-planning system for plastic injection mould bases
dc.contributor.authorGan, P.Y.
dc.contributor.authorLee, K.S.
dc.contributor.authorZhang, Y.F.
dc.date.accessioned2014-06-16T09:23:41Z
dc.date.available2014-06-16T09:23:41Z
dc.date.issued2001
dc.identifier.citationGan, P.Y., Lee, K.S., Zhang, Y.F. (2001). A branch and bound algorithm based process-planning system for plastic injection mould bases. International Journal of Advanced Manufacturing Technology 18 (9) : 624-632. ScholarBank@NUS Repository. https://doi.org/10.1007/s001700170022
dc.identifier.issn02683768
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53913
dc.description.abstractThis paper describes the use of artificial intelligence in the process planning of plastic injection mould bases. The computer-aided process-planning system, developed for IMOLD® will extract and identify the operations required for machining. These operations are considered together with their precedence constraints and the available machines before the process plan for the mould base plate is generated. The process plan is optimised by a branch and bound based algorithm. Overall machining time has been proposed as the objective function for optimisation. The ability of this algorithm to search intelligently for a feasible optimised solution is illustrated by an industrial case study. A brief comparison with a genetic algorithm based process planning system is also made. The result of this development will allow users to optimise process plans easily for any given mould base, with options to suit dynamic changes on the manufacturing shop floor.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s001700170022
dc.sourceScopus
dc.subjectBranch and bound algorithm
dc.subjectComputer-aided process-planning (CAPP)
dc.subjectOptimisation
dc.subjectPlastic injection mould base
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1007/s001700170022
dc.description.sourcetitleInternational Journal of Advanced Manufacturing Technology
dc.description.volume18
dc.description.issue9
dc.description.page624-632
dc.description.codenIJATE
dc.identifier.isiut000172332800002
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