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Statistical operating strategies for charging batch reactors
Author(s) -
Tsai ChiiShiang,
Chang ChueiTin
Publication year - 1996
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.690420511
Subject(s) - reliability (semiconductor) , batch processing , computer science , reliability engineering , margin (machine learning) , alarm , profit margin , process (computing) , profit (economics) , process engineering , engineering , machine learning , power (physics) , physics , quantum mechanics , marketing , business , programming language , aerospace engineering , operating system , economics , microeconomics
Two critical decisions must be made in the charging sequence of batch reactors: target setting and alarm generation. A number of statistics‐based strategies are proposed in this article to perform these tasks. The off‐line and on‐line target setting procedures developed in this work can be adopted to increase the profit margin of any given batch process without sacrificing reliability. A synthesis method for building optimal alarm logic is also described in detail. Monitoring systems constructed according to this suggested approach are effective in reducing the probability of undetected faulty batches. Extensive simulation studies show that the proposed strategies are suitable for application of manufacturing high‐value‐added products, which is a prevailing practice in batch processes.