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A hybrid modeling method combined with a suitable classification of process characteristics ensures a widespread model synthesis for quality prediction.
The IPS is a structured approach based on two prominent concepts: the rigorous classification of process behaviors and control tasks, and the use of standard performance indices to identify behaviors and schedule control activities accordingly.
This chapter describes new chemical process economic analysis methods, including the concept of chemical process analysis and basic cost items, bridging between economic analysis methods and process representation methods, which consists of the classification of process function and plant function, and mapping between them.
Although some aspects of our classification of phenes can also be applied to process phenes, we leave a detailed classification of process phenes as subject to future work.
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It can also be useful for the classification of processes and states regarding the reliability of information systems.
Starting from gene ontology classification, we tried to get a more complete classification of processes by considering also classification according to clusters of orthologous groups (Supplementary file 2 on the GoSynthetic website shows their classification and mapping according to GoSynthetic) and MIT BioBricks.
The chapter describes the physical classification of the process into process cells, units, equipment modules, and control modules.
Here we present a systematic classification of anthropogenic process types, organising them into three groups according to whether they are subsurface processes, surface processes, or both.
Mechanical reducing is further classification of excavation process.
This procedure for energy and material balancing (PEMB) is based on the Structured Analysis and Design Technique (SADT) model, which is connected with a techno-economic classification of production process elements.
In our model, we followed the same classification of input, process, and output variables as in the Gijselaers and Schmidt (1990) model but at the micro level.
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