1 |
Bae J.-H. and Wang, G.-N., Quality Control System Development Corresponding to the Floor Status for Improving Process Control Level. Journal of the Korean Institute of Plant Engineering, 2008, Vol. 13, No. 2, pp. 59-67.
|
2 |
Bae, J.-H., Critical Quality Attributes Analysis of Rolltype Film Products Using Quality Function Deployment Based on Analytical Hierarchy Process. Journal of the Korean Institute of Plant Engineering, 2014, Vol. 19, No. 2, pp. 23-33.
|
3 |
Bae, J.-H., Development of Simulation Model to Improve Thickness Smoothness Settling Amplitude of Winding in Roll-type Film Manufacturing Process. Journal of the Korean Institute of Plant Engineering, 2014, Vol. 19, No. 1, pp. 1-9.
|
4 |
Bae, J.-H., Measurement and Improvement Model for the Degree of Thick Smoothness in Roll-type Film Manufacturing. presented at the 2013 JKSIE Fall Conference, Seoul, 2013.
|
5 |
Choi, B.-K. and Bae, J.-H., Derivation of Key Process Input Variables on Film Production Line using Analytic Hierarchy Process. Journal of Korean Institute of Plant Engineering, 2012, Vol. 17, No. 4, pp. 35-43.
|
6 |
Feigenbaum, A.V., Quality control: Principles, practice and administration : An industrial management tool for improving product quality and design and for reducing operating costs and losses, McGraw-Hill, 1951.
|
7 |
Feigenbaum, A.V., Total Quality-Control. Harvard Business Review, 1956, Vol. 34, No. 6, pp. 93-101.
|
8 |
Garvin, D.A., Competing on the 8 dimensions of quality. Harvard Business Review, 1987, Vol. 65, No. 6, pp. 101-109.
|
9 |
Garvin, D.A., Product quality : An important strategic weapon. Business Horizons, 1984, Vol. 27, No. 3, pp. 40-43.
DOI
|
10 |
Lee, M.H. and Bae, J.H., Proposed Model to Improve Level of Field Quality Control in Roll-type Film Manufacturing Using Notation of Fault Tree Analysis. International Journal of Applied Engineering Research, 2015, Vol. 9, pp. 7853-7870.
|
11 |
R Core Team, R : A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/, 2015.
|
12 |
Scrucca, L., qcc : an R package for quality control charting and statistical process control. R News 4/1, 2004, pp. 11-17.
|