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This paper presents a new methodology to integrate process design and control design for chemical processes.
This paper presents a novel model-based approach to integrate process planning and quality assurance.
This paper presents a new methodology to integrate process design and control.
Metadatabase modeling and design integrate process modeling and data modeling methodologies.
In this paper, a new methodology to integrate process design and control for systems under uncertainty is proposed.
Given this situation, there is a strong motivation for developing models and optimization tools to fully integrate process dynamics into batch scheduling.
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This chapter also examines emerging approaches that include nanocomposite polymers, devices that integrate process-incompatible materials, and substrates made from dissolvable polymers.
To reduce computational cost, different time steps may be used to integrate processes with widely-differing time scales.
The integrated process capability and integrated process yield for cold cathode fluorescent lamp backlight are unknown.
This method builds a knowledge-data-integrated sparse (KDIS) monitoring model by integrating process data with fundamental process knowledge.
Biological integrity is discussed further in the section Integrating Process and Elements Perspectives.
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