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Optimization of two‐step batch processes and the method of compensation for random error
Author(s) -
Bjørkestøl Kirsten,
Sivertsen Edvard,
Næs Tormod
Publication year - 2012
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2449
Subject(s) - mathematical optimization , compensation (psychology) , set (abstract data type) , quality (philosophy) , computer science , process (computing) , random variable , mathematics , statistics , epistemology , psychology , philosophy , psychoanalysis , programming language , operating system
This paper considers the problem of the optimal setting of controllable variables in two‐step processes with quality constraints. The optimal setting minimizes the cost and satisfies quality constraints defined for the final output. The main emphasis is given to processes where it is possible to make intermediate measurements after the first processing step and to utilize these measurements before the control variables in the second step are set. Optimization based on this method of compensation for random error can yield substantially lower cost than does optimization based on a strategy where all variables are fixed before the process starts. An example of application of the method is taken from the food industry. Copyright © 2012 John Wiley & Sons, Ltd.