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롤 형상 필름 생산에서 두께평활도 개선을 위한 고정굴곡부 발현 모형 및 개선 모델

A Model for Detection and Refinement of Fixed Bending Regions for Improving the Degree of Thickness Uniformity in Rolled Film Manufacturing

  • 배재호 (오산대학교 산업시스템과)
  • Bae, Jae-Ho (Dept. of Industrial Systems, Osan University)
  • 투고 : 2015.05.19
  • 심사 : 2015.09.02
  • 발행 : 2015.09.30

초록

As film products are increasingly used in a wide range of areas, from producing traditional flexible packaging to high-tech electronic products, a higher level of quality is demanded. Most film products are made in the form of rolled finished goods, therefore, various quality issues related to their shape characteristics must be addressed. The thickness of the film products is one of the most common and important critical-to-quality attributes (CTQs). Particularly, the degree of thickness uniformity is more important than other thickness parameters, because it will be potential causes of many secondary thickness-related quality problems, such as wrinkles or faulty windings. To control the degree of thickness uniformity, the fixed bending region is oneof the most important CTQs to manage. Fixed bending regions are special points in the transverse direction of a rolled product with consistent minute variations of the thickness gap. This paper describes the measurement and analysis of thickness uniformity data, which were performed in a real manufacturing field of biaxial oriented polypropylene (BOPP) film. In previous researches, quality function deployment (QFD) or fault tree analysis were used to find the most critical process attributes out to controlthe CTQ of thickness uniformity. Whereas, this paper uses traditional control charts to find the most critical process attributes out in this problem. In addition, the selection of one of the major critical process attributes (CTPs) that is expected to affect the CTQ of thickness uniformity is also described. The selected critical-to-process attributes are the controlled temperatures along the transverse direction. A dramatic improvement in thickness uniformity was observed when the selected CTPs were controlled.

키워드

참고문헌

  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. https://doi.org/10.1016/0007-6813(84)90024-7
  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.