OPTIMAL LEVELS OF PROCESS PARAMETERS FOR PRODUCTS WITH MULTIPLE CHARACTERISTICS

被引：136

作者：

ELSAYED, EA

CHEN, A

机构：

[1] Department of Industrial Engineering, Rutgers University, Piscataway, NJ, 08855

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1993年 / 31卷 / 05期

关键词：

Loss functions - Offline quality control - Process parameters - Products with multiple characteristics - Robust manufacturing processes - Taguchi's method;

D O I：

10.1080/00207549308956778

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The purpose of off-line quality control is to design robust products using robust manufacturing processes before the actual manufacturing of the product. Most of the research work has focused on determining the optimal level settings of process parameters for products with a single quality characteristic. In this paper, we employ the loss function approach to determine the optimal level settings of the process parameters of the production processes for products with multiple characteristics.

引用

页码：1117 / 1132

页数：16

共 14 条

[1]

Basso L., Winterbottom A., Wynn H.P., A review of the 'Taguchi methods' for offline quality control, Quality and Reliability Engineering, 22, pp. 71-79, (1986)

[2]

Box G., Signal to noise ratios, performance criteria and transformations, Technometrics, 30, pp. 1-40, (1988)

[3]

Chen G., Kapur K.C., Quality evaluation system using loss function, 1989 International Industrial Engineering Conference & Societies Manufacturing and Productivity Symposium Proceedings, IIE, pp. 363-368, (1989)

[4]

Elliot J.G., Statistical Methods and Applications, (1987)

[5]

Kacker R.N., Off-line quality control, parameter design, and the Taguchi method, Journal of Quality Technology, 17, pp. 176-188, (1985)

[6]

Kapur K.C., Chen G., Signal to noise ratios development for quality engineering, Quality and Reliability Engineering, 4, 2, pp. 133-141, (1988)

[7]

Leon R.B., Shoemaker A.C., Kacker R.N., Performance Measures Independent of Adjustment. Technometrics, 29, pp. 253-285, (1987)

[8]

Phadke M.S., Quality engineering using design of experiments, Proceedings Ofthe Section on Statistical Education, pp. 11-20, (1982)

[9]

Phadke M.S., Quality Engineering Using Robust Design, (1989)

[10]

Sullivan L.P., Reducing variability: A new approach to quality, Quality Progress, 17, 7, pp. 15-21, (1984)

← 1 2 →