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• W2071760975 abstract "Batch processing presents several challenges. Increased competition calls for reduced production costs through a higher level of automation; however, chemical producers are expected to employ fewer in-house specialists in many areas, including process control. Technically, the main operational difficulty in batch-process improvement lies in the presence of run-end outputs such as final quality, which cannot be measured during the run. Although model-based solutions are available, process models in the batch area tend to be poor. On the other hand, measurement-based optimization for a given batch faces the challenge of having to know about the future to act during the batch. Consequently, the main research push is in the area of measurement-based optimization and the use of data from both the current and previous batches for control and optimization purposes" @default.
• W2071760975 created "2016-06-24" @default.
• W2071760975 creator A5031928432 @default.
• W2071760975 date "2006-12-01" @default.
• W2071760975 modified "2023-10-18" @default.
• W2071760975 title "Control and optimization of batch processes" @default.
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• W2071760975 doi "https://doi.org/10.1109/mcs.2006.252831" @default.
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