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A DEA benchmarking methodology for new product development process optimization
Conference paper

A DEA benchmarking methodology for new product development process optimization

Amy J.C. Trappey, Tzu-An Chiang, Wen-Chih Chen, Jen-Yau Kuo and Chia-Wei Yu
Complex Systems Concurrent Engineering: Collaboration, Technology Innovation and Sustainability, pp.729-737
2007

Abstract

DEA;New product development;Resources and schedule overruns

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. © 2007 Springer-Verlag London Limited.

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