Process control and optimization with simple interval calculation method

Chemometrics and Intelligent Laboratory Systems

Volumn 81, Issue 2, 2006, Pages 165-179

  Pomerantsev, Alexey ^a   Rodionova, Oxana ^a   Höskuldsson, Agnar ^b  

^a SEMENOV INSTITUTE OF CHEMICAL PHYSICS   (Russian Federation)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Expanding PLS modeling; MSPC; MSPO; Optimization; SIC approach

Indexed keywords

ARTICLE; CALCULATION; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; PROCESS CONTROL; PROCESS OPTIMIZATION; QUALITY CONTROL;

EID: 33645306874     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2005.12.005     Document Type: Article

References (21)

1. P. Nomikos, and J.F. MacGregor Multivariate SPC charts for monitoring batch processes Technometrics 37 1 1995 41 59
2. T. Kourti, and J.F. MacGregor Recent developments in multivariate SPC methods for monitoring and diagnosing process and product performance J. Qual. Technol. 28 4 1996 409 428
3. X. Wang, U. Kruger, and B. Lennox Recursive partial least squares algorithms for monitoring complex industrial processes Control Eng. Pract. 11 2003 613 632
4. M. Kano, S. Hasebe, I. Hashimoto, and H. Ohno Evolution of multivariate statistical process control: application of independent component analysis and external analysis Comput. Chem. Eng. 28 2004 1157 1166
5. T. Kourti, and J. MacGregor Process analysis, monitoring and diagnosis, using multivariate projection methods. Tutorial Chemom. Intell. Lab. Syst. 28 1995 3 21
6. Guidance for Industry PAT - A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance, U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER), Center for Veterinary Medicine (CVM), Office of Regulatory Affairs (ORA), September 2004, Pharmaceutical CGMPs.
7. W.A. Shewhart Economic Control of Quality of Manufactured Product 1931 Van Nostrand Princeton, NJ
8. H. Martens, and T. Naes Multivariate Calibration 1998 Wiley New York
9. A. Höskuldsson Prediction Methods in Science and Technology 1996 Thor Publishing Copenhagen, Denmark
10. Rodionova O. Ye, K.H. Esbensen, and A.L. Pomerantsev Application of SIC (Simple Interval Calculation) for object status classification and outlier detection-comparison with PLS/PCR J. Chemometr. 18 2004 402 413
11. A.L. Pomerantsev, and Rodionova O. Ye Hard and soft methods for prediction of antioxidants' activity based on the DSC measurements Chemom. Intell. Lab. Syst. 79 2005 73 83
12. G. Dantzig Linear Programming and Extensions 1963 Princeton University Press Princeton, NJ
13. S. Gass Linear Programming 4-th ed. 1975 McGow-Hill New York
14. Rodionova O. Ye, and A.L. Pomerantsev Principles of simple interval calculations A.L. Pomerantsev Progress in Chemometrics Research 2005 NovaScience Publishers NY 43 64
15. A.L. Pomerantsev, and Rodionova O. Ye Multivariate statistical process control and optimisation Pomerantsev Progress in Chemometrics Research 2005 NovaScience Publishers NY 209 227
16. L.E. Wagen, and B. Kowalski A multiblock partial least squares algorithm for investigation complex chemical systems J. Chemometr. 3 1998 3 20
17. A. Höskuldsson Causal and path modelling Chemom. Intell. Lab. Syst. 58 2001 287 311
18. E. Gumbel Statistics of Extremes 1962 Columbia University Press NY
19. J.A. Fernandez Pierna, L. Jin, M. Daszykowski, F. Wahl, and D.L. Massart A methodology to detect outliers/inliers in prediction with PLS Chemom. Intell. Lab. Syst. 68 2003 17 28
20. M.S. Larrechi, and M.P. Callao Strategy for introducing NIR spectroscopy and multivariate calibration techniques in industry Trends Anal. Chem. 22 2003 634 640
21. K.H. Esbensen Multivariate Data Analysis-In Practice 4-th ed. 2000 CAMO