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dc.contributor.authorTrappey, Amy J. C.en_US
dc.contributor.authorChiang, Tzu-Anen_US
dc.contributor.authorChen, Wen-Chihen_US
dc.contributor.authorKuo, Jen-Yauen_US
dc.contributor.authorYu, Chia-Weien_US
dc.date.accessioned2017-04-21T06:48:26Z-
dc.date.available2017-04-21T06:48:26Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-84628-975-0en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-1-84628-976-7_80en_US
dc.identifier.urihttp://hdl.handle.net/11536/136524-
dc.description.abstractDeveloping new products on time within budget constraints is a crucial issue to survive in today\'s competitive marketplace. However, unpredictable incidents occur during new product development (NPD) processes, which often cause expenses, resources and schedule overruns. Traditional project management tools lack of efficient and effective methods to solve these problems and challenges. Hence, this study applies the data envelopment analysis (DEA) concept to develop a novel project planning and management decision support methodology for NPD that can optimally allocate resources and dynamically response to unexpected delays and budget overruns. The research adopts the methodology to a mobile phone NPD project case to demonstrate the method\'s real-world application and illustrate the effectiveness of the proposed methodology in-depth.en_US
dc.language.isoen_USen_US
dc.subjectnew product developmenten_US
dc.subjectDEAen_US
dc.subjectresources and schedule overrunsen_US
dc.titleA DEA benchmarking methodology for new product development process optimizationen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1007/978-1-84628-976-7_80en_US
dc.identifier.journalCOMPLEX SYSTEMS CONCURRENT ENGINEERING: COLLABORATION, TECHNOLOGY INNOVATION AND SUSTAINABILITYen_US
dc.citation.spage729en_US
dc.citation.epage+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.identifier.wosnumberWOS:000248899900080en_US
dc.citation.woscount0en_US
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