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The optimality of balancing workloads in certain types of flexible manufacturing systems
dc.contributor.authorStecke, Kathryn E.en_US
dc.contributor.authorMorin, Thomas L.en_US
dc.date.accessioned2006-04-07T19:06:51Z
dc.date.available2006-04-07T19:06:51Z
dc.date.issued1985-04en_US
dc.identifier.citationStecke, Kathryn E., Morin, Thomas L. (1985/04)."The optimality of balancing workloads in certain types of flexible manufacturing systems." European Journal of Operational Research 20(1): 68-82. <http://hdl.handle.net/2027.42/25713>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VCT-48NBKNM-352/2/1bbca7be4c3e71bff488ca9fce6d8935en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/25713
dc.description.abstractSymmetric mathematical programming is used to analyze the optimality of balancing workloads to maximize the expected production in a single-server closed queuing network model of a flexible manufacturing system (FMS). In particular, using generalized concavity we prove that, even though the production function is not concave, balancing workloads maximizes the expected production in certain types of m-machine FMS's with n parts in the system. Our results are compared and contrasted with previous models of production systems.en_US
dc.format.extent2957210 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleThe optimality of balancing workloads in certain types of flexible manufacturing systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumGraduate School of Business Administration, University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.contributor.affiliationotherSchool of Engineering, Aristotlean University of Thessaloniki, Thessaloniki, Greeceen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/25713/1/0000270.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0377-2217(85)90285-1en_US
dc.identifier.sourceEuropean Journal of Operational Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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