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Design For Existing Lines: Part and Process Plan Optimization to Best Utilize Existing Production Lines

dc.contributor.authorSmithson, Arlene G.en_US
dc.contributor.authorHamza, Karim T.en_US
dc.contributor.authorSaitou, Kazuhiroen_US
dc.date.accessioned2011-11-14T16:29:51Z
dc.date.available2011-11-14T16:29:51Z
dc.date.issued2007-06en_US
dc.identifier.citationSmithson, A.; Hamza, K.; Saitou, K. (2007). Design for Existing Lines: Part and Process Plan Optimization to Best Utilize Existing Production Lines." Transactions of ASME, Journal of Computing and Information Science in Engineering 7(2): 126-131. <http://hdl.handle.net/2027.42/87207>en_US
dc.identifier.issn1530-9827en_US
dc.identifier.issn1944-7078en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/87207
dc.description.abstractThis paper presents a method for modifying the design of the new part for the maximum utilization of existing production lines dedicated to other products. The method takes as inputs a nominal part design and the process information of the (potentially multiple) existing line(s), and produces a modified part design and a process sequence of the new part that maximizes the utilization of available manufacturing processes in the existing lines or equivalently minimizes the addition of new processes dedicated to the new product. The problem is formulated as mixed discrete-continuous multiobjective optimization. A multiobjective genetic algorithm is used to generate Pareto optimal designs for the optimization analysis. A case study on the production of a new machine bracket considering two available production lines is presented.en_US
dc.publisherASMEen_US
dc.titleDesign For Existing Lines: Part and Process Plan Optimization to Best Utilize Existing Production Linesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineeringen_US
dc.contributor.affiliationotherNVFE Laboratory, Environmental Protection Agency, 2565 Plymouth Road, Ann Arbor, MI 48105.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/87207/4/Saitou12.pdf
dc.identifier.doi10.1115/1.2720886en_US
dc.identifier.sourceJournal of Computing and Information Science in Engineeringen_US
dc.owningcollnameMechanical Engineering, Department of


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