Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51559
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dc.titleAn automated process planning system based on genetic algorithm and simulated annealing
dc.contributor.authorMa, G.H.
dc.contributor.authorZhang, F.
dc.contributor.authorZhang, Y.F.
dc.contributor.authorNee, A.Y.C.
dc.date.accessioned2014-04-24T10:15:08Z
dc.date.available2014-04-24T10:15:08Z
dc.date.issued2002
dc.identifier.citationMa, G.H.,Zhang, F.,Zhang, Y.F.,Nee, A.Y.C. (2002). An automated process planning system based on genetic algorithm and simulated annealing. Proceedings of the ASME Design Engineering Technical Conference 3 : 57-63. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51559
dc.description.abstractThe paper presents the development of a computer-aided process planning (CAPP) system based on Genetic Algorithm (GA) and Simulated Annealing (SA). The system employs an optimization modeling method that generates all the feasible operation-method alternatives. It also provides flexible optimization criteria that will satisfy the various needs from different job-shops and/or job-batches. Two search algorithms based on GA and SA respectively have been developed to solve the problem effectively. Also, the system provides manufacturability analysis function, which gives designers and job shop operators helpful information about the manufacturing.
dc.sourceScopus
dc.subjectComputer aided process planning (CAPP)
dc.subjectGenetic Algorithms (GA)
dc.subjectManufacturability Analysis
dc.subjectOptimization
dc.subjectSimulated Annealing (SA)
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.sourcetitleProceedings of the ASME Design Engineering Technical Conference
dc.description.volume3
dc.description.page57-63
dc.identifier.isiutNOT_IN_WOS
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