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Base-stock control for single-product tandem make-to-stock systems

dc.contributor.authorDuenyas, Izaken_US
dc.contributor.authorPatana-Anake, Prayoonen_US
dc.date.accessioned2006-09-11T16:34:20Z
dc.date.available2006-09-11T16:34:20Z
dc.date.issued1997-01en_US
dc.identifier.citationDuenyas, Izak; Patana-Anake, Prayoon; (1997). "Base-stock control for single-product tandem make-to-stock systems." IIE Transactions 30(1): 31-39. <http://hdl.handle.net/2027.42/45874>en_US
dc.identifier.issn0740-817Xen_US
dc.identifier.issn1573-9724en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45874
dc.description.abstractIn this paper, we consider a multiple-stage tandem production/inventory system producing a single product. Processing time at each stage is assumed to have a general stationary processing time distribution. The cost of holding work-in-process (WIP) inventory is different at each stage. Therefore, decisions on when to release work to the system as well as when to transfer WIP from one stage to another need to be made. We formulate this problem of release/production control as a Markov decision process. However, the optimal policy is rather complex, making its implementation impracticable in practice. We therefore investigate the performance of simple base stock policies. Our approach aggregates several stages into one and uses a simple approximation to compute ‘approximately optimal’ base stock levels. We present the results of a simulation study that tests the performance of our approximation in estimating the best base stock levels, and the performance of base stock policies as compared with the optimal policy.en_US
dc.format.extent447901 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Chapman and Hall ; Springer Science+Business Mediaen_US
dc.subject.otherEngineeringen_US
dc.subject.otherMechanical Engineeringen_US
dc.titleBase-stock control for single-product tandem make-to-stock systemsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USAen_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45874/1/10756_2004_Article_173348.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1007489411593en_US
dc.identifier.sourceIIE Transactionsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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