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An automated coding and classification system with supporting database for effective design of manufacturing systems

dc.contributor.authorAgarwal, Munishen_US
dc.contributor.authorKamrani, Ali K.en_US
dc.contributor.authorParsaei, Hamid R.en_US
dc.date.accessioned2006-09-11T17:59:09Z
dc.date.available2006-09-11T17:59:09Z
dc.date.issued1994-08en_US
dc.identifier.citationAgarwal, Munish; Kamrani, Ali K.; Parsaei, Hamid R.; (1994). "An automated coding and classification system with supporting database for effective design of manufacturing systems." Journal of Intelligent Manufacturing 5(4): 235-249. <http://hdl.handle.net/2027.42/46606>en_US
dc.identifier.issn0956-5515en_US
dc.identifier.issn1572-8145en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46606
dc.description.abstractThe philosophy of group technology (GT) is an important concept in the design of flexible manufacturing systems and manufacturing cells. Group technology is a manufacturing philosophy that identifies similar parts and groups them into families. Beside assigning unique codes to these parts, group technology developers intend to take advantage of part similarities during design and manufacturing processes. GT is not the answer to all manufacturing problems, but it is a good management technique with which to standardize efforts and eliminate duplication. Group technology classifies parts by assigning them to different families based on their similarities in: (1) design attributes (physical shape and size), and/or (2) manufacturing attributes (processing sequence). The manufacturing industry today is process focused; departments and sub units are no longer independent but are interdependent. If the product development process is to be optimized, engineering and manufacturing cannot remain independent any more: they must be coordinated. Each sub-system is a critical component within an integrated manufacturing framework. The coding and classification system is the basis of CAPP and the functioning and reliability of CAPP depends on the robustness of the coding system. The proposed coding system is considered superior to the previously proposed coding systems, in that it has the capability to migrate into multiple manufacturing environments. This article presents the design of a coding and classification system and the supporting database for manufacturing processes based on both design and manufacturing attributes of parts. An interface with the spreadsheet will calculate the machine operation costs for various processes. This menu-driven interactive package is implemented using dBASE-IV. Part Family formation is achieved using a KAMCELL package developed in TURBO Pascal.en_US
dc.format.extent1262246 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Chapman & Hall ; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherManufacturing, Machines, Toolsen_US
dc.subject.otherAutomation and Roboticsen_US
dc.subject.otherProduction/Logisticsen_US
dc.subject.otherGroup Technologyen_US
dc.subject.otherAutomated Codingen_US
dc.titleAn automated coding and classification system with supporting database for effective design of manufacturing systemsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Manufacturing Systems Engineering, The University of Michigan-Dearborn, 48128, Dearborn, MI, USAen_US
dc.contributor.affiliationotherDepartment of Engineering Management, University of Missouri-Rolla, 65401, Rolla, MO, USAen_US
dc.contributor.affiliationotherIndustrial Engineering Department, University of Louisville, 40292, Louisville, KY, USAen_US
dc.contributor.affiliationumcampusDearbornen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46606/1/10845_2004_Article_BF00123696.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00123696en_US
dc.identifier.sourceJournal of Intelligent Manufacturingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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