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Tandem AGV systems: A partitioning algorithm and performance comparison with conventional AGV systems

dc.contributor.authorBozer, Yavuz Ahmeten_US
dc.contributor.authorSrinivasan, Mandyam M.en_US
dc.date.accessioned2006-04-10T14:58:07Z
dc.date.available2006-04-10T14:58:07Z
dc.date.issued1992-12-10en_US
dc.identifier.citationBozer, Yavuz A., Srinivasan, Mandyam M. (1992/12/10)."Tandem AGV systems: A partitioning algorithm and performance comparison with conventional AGV systems." European Journal of Operational Research 63(2): 173-191. <http://hdl.handle.net/2027.42/29686>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VCT-48MYGSB-43/2/80f8f93879e0c215203089d8191f0348en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29686
dc.description.abstractIn an earlier paper, Bozer and Srinivasan introduced the tandem concept for automated guided vehicle (AGV) systems and presented an analytical model to evaluate the throughput performance of a basic component of the system; namely, a single vehicle serving a set of workstations under the First-Encountered-First-Served rule. In this study, using the above analytical model and certain column generation techniques, we present a heuristic partitioning scheme to configure tandem AGV systems. The partitioning scheme is based on a variation of the well-known set partitioning problem. It is aimed at evenly distributing the workload among all the AGVs in the system. We demonstrate the procedure with two numerical examples. Using simulation, the performance of the tandem configuration obtained for each example is compared to that of the corresponding conventional AGV system.en_US
dc.format.extent1627005 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleTandem AGV systems: A partitioning algorithm and performance comparison with conventional AGV 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.affiliationumDepartment of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29686/1/0000013.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0377-2217(92)90024-4en_US
dc.identifier.sourceEuropean Journal of Operational Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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