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dc.contributor.authorLiang, Shing-Koen_US
dc.contributor.authorChu, Peteren_US
dc.contributor.authorYang, Kuo-Lungen_US
dc.date.accessioned2014-12-08T15:12:46Z-
dc.date.available2014-12-08T15:12:46Z-
dc.date.issued2008en_US
dc.identifier.issn0020-7721en_US
dc.identifier.urihttp://hdl.handle.net/11536/9841-
dc.identifier.urihttp://dx.doi.org/10.1080/00207720701832523en_US
dc.description.abstractA periodic review inventory model with backorders and lost sales in which both lead-time and the periodic review length are decision variables and the production interval demand follows a normal distribution is explored in this article. Ouyang and Chuang discussed this problem in a recent paper published in the International Journal of Systems Science. However, their algorithms might not, although intended to, find the optimal solution due to questionable results in their solution procedure. The purpose of this study is 3-fold. First, the criteria for the existence and uniqueness of the critical solution for minimising the total expected annual cost are determined. Second, a correct and efficient algorithm to improve their method is constructed to find the optimal lead-time and periodic review length simultaneously. Finally, some numerical examples are provided to compare our solution procedure with that of Ouyang and Chuang's method to demonstrate their questionable results.en_US
dc.language.isoen_USen_US
dc.subjectinventoryen_US
dc.subjectlead-timeen_US
dc.subjectbackorderen_US
dc.subjectlost salesen_US
dc.subjectperiodic reviewen_US
dc.titleImproved periodic review inventory model involving lead-time with crashing components and service levelen_US
dc.typeReviewen_US
dc.identifier.doi10.1080/00207720701832523en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF SYSTEMS SCIENCEen_US
dc.citation.volume39en_US
dc.citation.issue4en_US
dc.citation.spage421en_US
dc.citation.epage426en_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.identifier.wosnumberWOS:000253658900008-
dc.citation.woscount2-
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