A DEA benchmarking methodology for new product development process optimization

Amy J C Trappey, Tzu An Chiang, Wen-Chih Chen, Jen Yau Kuo, Chia Wei Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Developing 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.

Original languageEnglish
Title of host publicationComplex Systems Concurrent Engineering
Subtitle of host publicationCollaboration, Technology Innovation and Sustainability
Pages729-737
Number of pages9
DOIs
StatePublished - 1 Dec 2007
Event14th ISPE International Conference on Concurrent Engineering, CE 2007 - Sao Jose dos Campos, SP, Brazil
Duration: 16 Jul 200720 Jul 2007

Publication series

NameComplex Systems Concurrent Engineering: Collaboration, Technology Innovation and Sustainability

Conference

Conference14th ISPE International Conference on Concurrent Engineering, CE 2007
CountryBrazil
CitySao Jose dos Campos, SP
Period16/07/0720/07/07

Keywords

  • DEA
  • New product development
  • Resources and schedule overruns

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