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Quantitative overdesign of chemical processes
Author(s) -
Freeman R. A.,
Gaddy J. L.
Publication year - 1975
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690210303
Subject(s) - dependability , stochastic process , process (computing) , variable (mathematics) , chemical process , process design , random variable , computer science , mathematical optimization , reliability engineering , engineering , process engineering , mathematics , statistics , process integration , mathematical analysis , chemical engineering , operating system
Overdesign is applied to chemical processes to account for expected variations in the design data or design conditions. These variables must be treated quantitatively in order to design a process that is certain to perform adequately. Process dependability is introduced as a means of quantifying variable process behavior. Overdesign using the dependability criterion is a stochastic optimization problem. An example problem with three stochastic variables and two design variables is presented to illustrate these procedures.