Using raw material measurements in robust process optimization

Chemometrics and Intelligent Laboratory Systems

Volumn 55, Issue 1-2, 2001, Pages 133-145

  Mevik, Bjørn Helge ^a   Færgestad, Ellen Mosleth ^a   Ellekjær, Marit Risberg ^a   Næs, Tormod ^a  

^a NORWEGIAN FOOD RESEARCH INSTITUTE   (Norway)

Author keywords

Batch wise robust process optimization; Process control; Raw material measurements; Robust parameter design; Taguchi method

Indexed keywords

PROTEIN;

ARTICLE; BREAD; ERROR; EXPECTATION; FLOUR; FOOD QUALITY; MEASUREMENT; MODEL; PRIORITY JOURNAL; PROCESS CONTROL; PROTEIN CONTENT; STATISTICAL ANALYSIS; TECHNIQUE; VARIANCE;

EID: 0035852407     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(01)00100-9     Document Type: Article

References (23)

1. Statistical control by monitoring and feedback adjustment
2. Taguchi's parameter design: a panel discussion
3. Off-line quality control, parameter design, and the Taguchi method
4. Performance measure independent of adjustment: an explanation and extention of Taguchi's signal-to-noise ratios
5. A theory of performance measures in parameter design
6. Robust parameter design: a response surface approach
7. Response surface alternatives to the Taguchi robust parameter design approach
8. Designing products that are robust to the environment
9. Multiresponse process optimization via constrained confidence regions
10. A review of robust process design approaches
11. Statistical design applied to product design
12. Statistics for experimenters: an introduction to design, data analysis, and model building
13. Experiments with mixtures: designs, models and the analysis of mixture data
14. An explanation and critique of Taguchi's contributions to quality engineering
15. Off-line and on-line quality control systems
16. Taguchi parameter design by second-order response surfaces
17. Observable uncontrollable factors in parameter design
18. A comparison of methods for analyzing data from a three component mixture experiment in the presence of variation created by two process variables
19. Influence of flour quality and baking process on hearth bread characteristics made using gentle mixing
20. Functional marginality and response-surface fitting