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dc.contributor.authorChung, Shu-Hsingen_US
dc.contributor.authorPearn, Wen Leaen_US
dc.contributor.authorLee, Amy H. I.en_US
dc.date.accessioned2014-12-08T15:17:17Z-
dc.date.available2014-12-08T15:17:17Z-
dc.date.issued2006-03-01en_US
dc.identifier.issn1943-670Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/12575-
dc.description.abstractIn a competitive market, a company needs to fully utilize its current capacity in order to acquire higher profit. The purpose of this paper is to present an effective approach to find a set of product mix efficient for the company to achieve the optimal production. Simulation is first used to generate the data of performance measures of different product mixes in a semiconductor fabricator. Data Envelopment Analysis (DEA) is applied next to measure multiple inputs and outputs, without pre-assigning weights, for product mixes, and an efficiency score for producing each product mix relative to other mixes can be obtained. The results provide guidance for a fab in accepting orders when its capacity cannot fully satisfy all the product demand. Significance: This paper applied the DEA method to evaluate the production performance with different product mixes in a semiconductor fabricator. The results provide guidance to the fabricator regarding accepting orders to maximize the production efficiency and the profit, while considering several other important input and output factors that maintain production smoothing.en_US
dc.language.isoen_USen_US
dc.subjectdata envelopment analysisen_US
dc.subjectDEAen_US
dc.subjectefficiencyen_US
dc.subjectproduct mixen_US
dc.subjectsemiconductor fabricatoren_US
dc.titleMeasuring production performance of different product mixes in semiconductor fabricationen_US
dc.typeArticleen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICEen_US
dc.citation.volume13en_US
dc.citation.issue1en_US
dc.citation.spage5en_US
dc.citation.epage17en_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:000246634700001-
dc.citation.woscount4-
Appears in Collections:Articles