%0 Conference Proceedings
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@usergroup administrator
%@usergroup phdchiang@gmail.com
%@usergroup administrator
%3 Paper.pdf
%J São José dos Campos
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%B ISPE International Conference on Concurrent Engineering, 14 (CE 2007).
%9 Product Development Management
%P 713-721
%X Introducing new products on time within resource and budget constraints is a key to survive in todays fierce business environment. Owing to time-to-market pressure, cost concerns and the complexity of modern product design, distributed and collaborative product development paradigms are emerged. However, unpredictable incidents usually occur during new product development (NPD) processes, which cause expenses, resources and schedule overruns. Conventional project planning methods, estimating time, budgets and resources of NPD activities, are often based on project managers expertise and subjective judgment. Applying the subjective cost-duration relationship for each activity and the PERT/CPM technique, the NPD project schedule, budget and the probability of meeting the deadline are obtained. However, the NPD project managers lack objective benchmarking models to gain valuable insights into the relations between various resource allocations and activity times in order to support NPD engineers in the best collaborative practices. In planning phase of NPD, the proposed schedule may not satisfy the due day required by customers. Thus, the project managers need to alter the plan accordingly. In addition, during the execution phase, the proposed schedule may not be feasible due to the unexpected delay of NPD activities. Therefore, modification of the project plan, while the project is being executed, is needed. However, traditional project management tools cannot provide mechanisms to dynamically modify NPD projects to avoid schedule and cost overruns. This research is to develop a novel project planning and management decision support methodology and tool for NPD that can optimally allocate resources and dynamically response to unexpected delays or budget overruns. This study proposes a benchmarking-based methodology to optimize a NPD process in a view of lifecycle. The lifecycle of a NPD process is divided into three phases, i.e., the planning phase, the execution phase and the completion-and-review phase. In the planning phase and the execution phase, this research develops benchmarking-based analytical models and creates the feed-forward and back-forward modification mechanisms to optimize NPD processes. When the process is complete, the relative economical efficiency of these particular NPD processes within a product portfolio is evaluated and reviewed by using data envelopment analysis (DEA) approach, which is able to provide NPD managers concrete and quantitative improvement suggestions. In order to demonstrate the methods real-world application, a mobile-phone development project scenario is used as an in-depth case to illustrate the effectiveness of the proposed methodology.
%@session oral
%E Loureiro, Geilson,
%E Curran, Ricky,
%T A DEA Benchmarking Methodology for New Product Development Process Optimization
%@electronicmailaddress trappey@ie.nthu.edu.tw
%@electronicmailaddress phdchiang@gmail.com
%@electronicmailaddress wenchih@faculty.nctu.edu.tw
%@electronicmailaddress jykuo@itri.org.tw
%@electronicmailaddress willyyu@itri.org.tw
%@format Print; CD-ROM; On-line.
%K System Engineering, Complex adaptive MetaSystems.
%@secondarytype CI
%8 2007, July 16-20
%@e-mailaddress phdchiang@gmail.com
%@mark 1
%2 dpi.inpe.br/ce@80/2007/01.05.02.36.02
%@affiliation Department of Industrial Engineering and Engineering Management, National Tsing Hua University, 101, Sec. 2 Kuang Fu Road, Hsinchu, Taiwan 300, R.O.C.
%@affiliation Department of Industrial Engineering and Management, Mingchi University of Technology, 84 Gungjuan RD. ,Taishan, Taipei, Taiwan 243 R.O.C.
%@affiliation Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta-Hsueh Road Hsinchu, Taiwan 300, R.O.C.
%@affiliation RFID Technology Center, Industrial Technology Research Institute, Rm.212, Bldg.52, 195 Sec.4, Chung Hsing Rd. Chutung, Hsinchu, Taiwan 310, R.O.C.
%@affiliation RFID Technology Center, Industrial Technology Research Institute, Rm.212, Bldg.52, 195 Sec.4, Chung Hsing Rd. Chutung, Hsinchu, Taiwan 310, R.O.C.
%@subject Systems management (value, risk, cost and schedule)
%4 dpi.inpe.br/ce@80/2007/01.05.02.36
%D 2007
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%S Proceedings
%A Trappey, Amy J. C.,
%A Chiang, Tzu-An,
%A Chen, Wen-Chih,
%A Kuo, Jen-Yau,
%A Yu, Chia-Wei,
%C São Jos¡¡ì¦ dos Campos
%@area ETES