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Understanding and Reducing Performance Variation in New Product Development Using Paper Helicopter Experiment
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 Title & Authors
Understanding and Reducing Performance Variation in New Product Development Using Paper Helicopter Experiment
Shin, Byung-Cheol; Kim, Si-Ung; Jeong, Sun Min; Byun, Jai-Hyun; Nam, Yong-Seog;
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 Abstract
Purpose: In developing new products, reducing performance variation is important for competitiveness factors such as quality, cost, and delivery. This paper aims at evaluating three performance variations; measurement, performance evaluation, and manufacturing variations, and then improving product and process design, focused on paper helicopter making case study. Methods: For measurement system analysis, gage R&R (repeatability and reproducibility), linearity, stability are evaluated. Since gage R&R are not satisfactory, the measurement system is improved by adopting voice memos application of iPhone and providing standard measurement procedure. To evaluate performance variation, product deterioration and environment factor (wind speed) is considered. Since the existing design is sensitive to these noise factors, a new product design is developed, which is proven to be robust to the noise factors. Finally, manufacturing variations are evaluated with five factors which can cause variation in flight time. To reduce the impact of three significant factors, three improvement methods are applied. Results: Three performance variations are evaluated and robust paper helicopter design is presented. Conclusion: To reduce measurement and process variations, improved measurement method and paper helicopter making procedure are proposed. A new product design is also presented which is robust to deterioration and environmental variation. This paper is expected to benefit students and practitioners who want to have hands-on knowledge on new product quality improvement.
 Keywords
Product Development Quality;Measurement System Analysis;Performance Evaluation Variation;Manufacturing Variation;Paper Helicopter Experiment;
 Language
Korean
 Cited by
 References
1.
AIAG(Automotive Industry Action Group). 2010. Measurement Systems Analysis Reference Manual, 4th ed. USA.

2.
Agrawal, R., Lawless, J. F., and MacKay, R. J. 1999. "Analysis of Variation Transmission in Manufacturing Processes - Part II." Journal of Quality Technology 31(2):143-154.

3.
Anand, K. N. 1998. "Dispersion Control: A Company Philosophy to Meet Competitive Challenges." Quality Engineering 10(4):605-615. crossref(new window)

4.
Bai, D. S., Ryu, M. C., Kwon, Y. I., Yun, W. Y., Kim, S. B., Hong, S. H., and Choi, I. S. 1999. Statistical Quality Control, 2nd ed. Seoul: Youngjimunhwasa.

5.
Escalante, E. J. 1999. "Quality and Productivity Improvement: A Study of Variation and Defects in Manufacturing." Quality Engineering 11(3):427-442. crossref(new window)

6.
Heredia1, J. A., and Gras, M. 2010. "Empirical Procedure for Modelling the Variation Transmission in a Manufacturing Process" Quality Engineering 22(3):150-156. crossref(new window)

7.
Lawless, J. F., MacKay, R. J., and Robinson, A. J. 1999. "Analysis of Variation Transmission in Manufacturing Processes - Part I." Journal of Quality Technology 31(2):131-142.

8.
Lee, S. H. 2006. MINITAB Measurement System Analysis. Gunpo, Seoul: Eretec Inc.

9.
Liu, J. 2010. "Variation Reduction for Multistage Manufacturing Processes: A Comparison Survey of Statistical-Process-Control vs Stream-of-Variation Methodologies." Quality and Reliability Engineering International 26(7):645-661. crossref(new window)

10.
MacKay, R. J., and Steiner, S. H. 1997. "Strategies for Variability Reduction." Quality Engineering 10(1):125-136. crossref(new window)

11.
Mader, D. P., Prins, J., and Lampe, R. E. 1999. "The Economic Impact of Measurement Error." Quality Engineering 11(4):563-574. crossref(new window)

12.
Minitab Inc. 2010. MINITAB Software, Release 16. PA: State College.

13.
Montgomery, D. C. 2012. Design and Analysis of Experiments, 8th ed. USA: Wiley.

14.
Montgomery, D. C. 2013. Statistical Quality Control, 7th ed. USA: Wiley.

15.
Palumbo, B., De Chiara, G., Sansonea, F., and Marroneb, R. 2011. "Technological Scenarios of Variation Transmission in Multistage Machining Processes." Quality and Reliability Engineering International 27(5):651-658. crossref(new window)

16.
Taguchi, G., and Wu, Y. 1981. Off-Line Quality Control. Central Japan Quality Control Association, Tokyo.

17.
Taylor, W. A. 1991. Optimization and Variation Reduction in Quality. USA: McGraw-Hill.