Optimal Process Sequencing in CAPP Systems.

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dc.contributor.authorSsemakula, M.E.en_US
dc.contributor.authorNau, D.S.en_US
dc.contributor.authorRangachar, R.M.en_US
dc.contributor.authorYang, Q.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:42:16Z
dc.date.available2007-05-23T09:42:16Z
dc.date.issued1988en_US
dc.description.abstractAutomated Process Planning forms an important link in CIM Systems. Process Sequencing is one of the most important phases of process planning and is influenced by factors such as part geometry, available manufacturing resources and generated cutting forces. This paper describes a new AI based approach to optimizing this function using heuristic search techniques.en_US
dc.format.extent799532 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/4819
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1988-93en_US
dc.titleOptimal Process Sequencing in CAPP Systems.en_US
dc.typeTechnical Reporten_US

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