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Optimal mass production

dc.contributor.authorRosenthal, Arnonen_US
dc.date.accessioned2006-04-07T17:23:32Z
dc.date.available2006-04-07T17:23:32Z
dc.date.issued1980-07en_US
dc.identifier.citationRosenthal, Arnon (1980/07)."Optimal mass production." Discrete Applied Mathematics 2(2): 167-170. <http://hdl.handle.net/2027.42/23207>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYW-45GVXK4-32/2/4ba8937c9aea14b757576b960f44cebfen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/23207
dc.description.abstractIt is often desirable to perform a "sensitivity analysis" by perturbing the data given with a problem. Motivated by serial and nonserial dynamic programming, we define a variety of sensitivity analysis problems, produce algorithms, and obtain lower bound results.en_US
dc.format.extent383723 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleOptimal mass productionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Computer and Communication Sciences, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/23207/1/0000136.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0166-218X(80)90008-6en_US
dc.identifier.sourceDiscrete Applied Mathematicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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