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Optimal production run time for two-stage production system with imperfect processes and allowable shortages

dc.citation.epage545en_US
dc.citation.issue4en_US
dc.citation.spage533en_US
dc.citation.volume19en_US
dc.citation.woscount1
dc.contributor.authorPearn, W. L.en_US
dc.contributor.authorSu, R. H.en_US
dc.contributor.authorWeng, M. W.en_US
dc.contributor.authorHsu, C. H.en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.date.accessioned2014-12-08T15:20:33Z
dc.date.available2014-12-08T15:20:33Z
dc.date.issued2011-12-01en_US
dc.description.abstractThis paper considers a two-stage production system with imperfect processes. Shortages are allowed, and the unsatisfied demand is completely backlogged. In addition, the capital investment in process quality improvement is adopted. Under these assumptions, we first formulate the proposed problem as a cost minimization model where the production run time and process quality are decision variables. Then we develop the criterion for judging whether the optimal solution not only exists but also is unique. If the criterion is not satisfied, the production system should not be opened. An algorithm for the computations of the optimal solutions is also provided. Finally, a numerical example and sensitivity analysis are carried out to illustrate the model.en_US
dc.identifier.doi10.1007/s10100-010-0143-xen_US
dc.identifier.issn1435-246Xen_US
dc.identifier.journalCENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCHen_US
dc.identifier.urihttp://dx.doi.org/10.1007/s10100-010-0143-xen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/14631
dc.identifier.wosnumberWOS:000296359800009
dc.language.isoen_USen_US
dc.subjectInventoryen_US
dc.subjectImperfect production processen_US
dc.subjectQuality improvementen_US
dc.subjectShortagesen_US
dc.subjectTwo-stage systemen_US
dc.titleOptimal production run time for two-stage production system with imperfect processes and allowable shortagesen_US
dc.typeArticleen_US

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