Journal of Zhejiang University SCIENCE
(ISSN 1009-3095, Monthly)
2003   Vol. 4   No. 4   p.388-392

Analytical method for promoting process capability of shock absorption steel

SUNG Wen-Pei(Department of Landscape Design and Management, National Chin-Yi Institute of Technology, Taiping,Taichung, Taiwan 41111)
SHIH Ming-Hsiang(Department of Construction Engineering, National Kaoshiang First University of Science and Technology,Kaoshiang, Taiwan 824)
CHEN Kuen-Suan(Department of Industrial Engineering and Management, National Chin-Yi Institute of Technology,Taiping, Taichung, Taiwan 41111)

Abstract:Mechanical properties and low cycle fatigue are two factors that must be considered in developing new type steel for shock absorption. Process capability and process control are significant factors in achieving the purpose of research and development programs. Often-used evaluation methods failed to measure process yield and process centering; so this paper uses Taguchi loss function as basis to establish an evaluation method and the steps for assessing the quality of mechanical properties and process control of an iron and steel manufacturer. The establishment of this method can serve the research and development and manufacturing industry and lay a foundation in enhancing its process control ability to select better manufacturing processes that are more reliable than decision making by using the other commonly used methods.
Keywords:Manufacturing performance index of shock absorption steel, F test statistic, Evaluation procedure, Process capability

CLC Number:TH142.1 Document ID:A

Author Resume:SUNG Wen-Pei,E-mail: sung809@chinyi.ncit.edu.tw

References:

[1]Bergman, D. M. and Goel, S. C., 1987. Evaluation of Cyclic Testing of Steel-Plate Devices for Added Damping and Stiffness. Technical Report UMCE 87-10, The University of Michigan, Ann Arbor, MI, U.S.A.
[2]Boyles, R. A., 1991. The Taguchi capability index. Journal of Quality Technology, 23(1): 17-26.
[3]Boyles, R. A, 1994. Process capability with asymmetric tolerances. Communication in Statistics-Simulation and Computation, 23: 615-643.
[4]Chan, L. K., Cheng, S. W. and Spiring, F. A., 1988. A new measure of process capability: Cpm. Journal of Quality Technology, 20:162-175.
[5]Chang, J. T. and Wang, S. C., 1997. The Development of Ultra Low Yield Strength Plate Shell. China Steel Technical Report, No.11.
[6]Chen, K. S., 1998. Incapability index with asymmetric tolerances. Statistica Sinica, 8: 253-262.
[7]Chou, Y. M. and Owen, D. B., 1989. On the distribution of the estimated process capability indices. Comm. Statistics Theory Methods, 18:4549-4560.
[8]Dowrick, D. J., 1996. Earthquake Resistant Design for Engineers and Architects. 2nd Edition, A Wiley-Interscience Publication, John Wiley & Sons, New York, USA.
[9]Greenwich, M. and Jahr-Schaffrath, B. L., 1995. A process incapability index. Internal Journal of Quality & Reliability Management, 12(4): 58-71.
[10]Kane, V. E., 1986. Process capability indices. Journal of Quality Technology, 18(1):41-52.
[11]Pearn, W. L., Kotz, S. and Johnson, K. L., 1992. Distribution and inferential properties of process capability indices. Journal of Quality Technology, 24: 216-231.
[12]Vannman, K. and Kotz, S., 1995. A superstructure of capability indices-distributional properties and implications. Scandinavian Journal of Statistics, 22: 477-491.


Manuscript Received: 2003 Mar. 15

Manuscript Revised: 2003 May 5

Published: 2003 Aug. 30