An automated coding and classification system with supporting database for effective design of manufacturing systems
dc.contributor.author | Agarwal, Munish | en_US |
dc.contributor.author | Kamrani, Ali K. | en_US |
dc.contributor.author | Parsaei, Hamid R. | en_US |
dc.date.accessioned | 2006-09-11T17:59:09Z | |
dc.date.available | 2006-09-11T17:59:09Z | |
dc.date.issued | 1994-08 | en_US |
dc.identifier.citation | Agarwal, 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.issn | 0956-5515 | en_US |
dc.identifier.issn | 1572-8145 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46606 | |
dc.description.abstract | The 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.extent | 1262246 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Chapman & Hall ; Springer Science+Business Media | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Manufacturing, Machines, Tools | en_US |
dc.subject.other | Automation and Robotics | en_US |
dc.subject.other | Production/Logistics | en_US |
dc.subject.other | Group Technology | en_US |
dc.subject.other | Automated Coding | en_US |
dc.title | An automated coding and classification system with supporting database for effective design of manufacturing systems | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Manufacturing Systems Engineering, The University of Michigan-Dearborn, 48128, Dearborn, MI, USA | en_US |
dc.contributor.affiliationother | Department of Engineering Management, University of Missouri-Rolla, 65401, Rolla, MO, USA | en_US |
dc.contributor.affiliationother | Industrial Engineering Department, University of Louisville, 40292, Louisville, KY, USA | en_US |
dc.contributor.affiliationumcampus | Dearborn | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46606/1/10845_2004_Article_BF00123696.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00123696 | en_US |
dc.identifier.source | Journal of Intelligent Manufacturing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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