Abstract
Design of experiments (DoE) is a strategy of planning, conducting, analysing and interpreting experiments so that valid conclusions can be drawn efficiently and economically. It has proved to be very effective for improving the process yield, process performance, and process variability. The paper highlights common problems and gaps in the state‐of‐the‐art in DoE. The paper also presents a case study for optimising the product life using DoE methodology. A significant improvement in the product life was observed. The results of the case study were fascinating and would encourage the engineering team within the company to apply this powerful technique in other core processes to achieve process improvement at low costs.
Subject
Management of Technology and Innovation,Strategy and Management,General Decision Sciences
Reference15 articles.
1. Antony, J. (1997), “A strategic methodology for the use of advanced statistical quality improvement techniques”, PhD thesis.
2. Antony, J. (1999), “Improving the wire bonding process quality using statistically designed experiments”, Microelectronics Journal, Vol. 30 No. 2, pp. 161‐8.
3. Antony, J. (1999), “Ten useful and practical tips for making your industrial experiments successful”, The TQM Magazine, Vol. 11 No.4, pp. 252‐6.
4. Antony, J. and Antony, F.J. (1998), “Teaching advanced statistical techniques to industrial engineers and business managers”, Journal of Engineering Design, Vol. 9 No. 1, pp. 89‐100.
5. Benski, H.C. (1989), “Use of a normal test to identify significant effects in factorial designs”, Journal of Quality Technology, Vol. 21 No. 3, pp. 174‐8.
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献