Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1089
Title: Problem-based learning approach to application of statistical experimentation
Authors: Goh, T.N. 
Lam, S.W. 
Keywords: Design for Six Sigma
Design of experiments
Robust design
Statistical training
Issue Date: 2010
Source: Goh, T.N., Lam, S.W. (2010). Problem-based learning approach to application of statistical experimentation. Quality and Reliability Engineering International 26 (4) : 365-373. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1089
Abstract: In product development, statistical experimentation techniques can help to improve product quality so as to meet or even exceed customers' requirements. To integrate proper statistical techniques effectively and sustainably into new product development and innovation processes, it is important to train product development engineers who are usually experts in their respective engineering domain. In this paper, a problem-based learning approach integrated within a Design for Six Sigma (DFSS) training program is described. It is illustrated that instead of relying on ad hoc implementation, statistical experimentation introduced through the DFSS methodology would enable product development engineers to appreciate its usefulness within a broader framework. © 2010 John Wiley & Sons, Ltd.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/44199
ISSN: 07488017
DOI: 10.1002/qre.1089
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