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KNOVEL_ocn794370429 |
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OCoLC |
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20231027140348.0 |
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120523s2012 nyu fo 000 0 eng |
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|a AU@
|b eng
|e pn
|c AU@
|d GZM
|d OCLCQ
|d OCLCF
|d UWW
|d OCLCQ
|d BUF
|d KNOVL
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
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|a 1036295869
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|a 9781613447871
|q (electronic bk.)
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|a 1613447876
|q (electronic bk.)
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|a AU@
|b 000049162709
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|a GBVCP
|b 856590290
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|a (OCoLC)794370429
|z (OCoLC)1036295869
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|a TJ153
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|a 621.816
|2 23
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|a UAMI
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|a Bonem, Joe M.
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|a Improve plant operations ny [sic] daily monitoring of theoretically derived metrics /
|c by Joe M. Bonem.
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|a Improve plant operations by daily monitoring of theoretically derived metrics
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|a [New York, NY] :
|b Knovel,
|c ©2012.
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a "Apr 17, 2012."
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|a At head of title: Cases.
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|a "Industrial plants (chemical plants, refineries, compressor stations, et. al.) tend to operate smoothly at design production rates as long as no problems are present. However, in the real world, problem are often present. So improving plant operations almost always involves problem solving. The speed of solving problems determines whether an operating plant meets production, operating costs and quality targets."--Knovel description
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|a Knovel
|b ACADEMIC - Process Design, Control & Automation
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|a Plant performance
|x Monitoring.
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|a Chemical plants.
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|a Petroleum refineries.
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|a Entreprises
|x Équipement
|x Rendement
|x Surveillance.
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|a Usines chimiques.
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|a Pétrole
|x Raffineries.
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|a chemical plants.
|2 aat
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|a refineries.
|2 aat
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|a Chemical plants
|2 fast
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|a Petroleum refineries
|2 fast
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|a Plant performance
|x Monitoring
|2 fast
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|u https://appknovel.uam.elogim.com/kn/resources/kpIPODMTD1/toc
|z Texto completo
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|a 92
|b IZTAP
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