The phrase "an optimal process" is correct and usable in written English.
It can be used when discussing the most efficient or effective way to carry out a task or procedure.
Example: "To improve our workflow, we need to identify and implement an optimal process for project management."
Alternatives: "an ideal method" or "a most efficient procedure".
However, due to the small window in which the methanol concentration must be kept for an optimal process, pulse-based methanol addition for optimization of processes in shake flasks seems not to be the best way to provide data for the development of a fermentation process.
The automated design of an optimal process operation can thus be formulated as a dynamic optimization problem with a hybrid system embedded.
Seeking a higher level of automation, according to Intelligent Manufacturing paradigm, an optimal process control for milling process has been developed, aiming at optimizing a multi-objective target function defined in order to mitigate vibration level and surface quality, while preserving production times and decreasing tool wear rate.
They lay out clear tasks that together constitute the steps in an optimal process.
This makes the design of an optimal process particularly challenging and modeling mandatory.
By achieving an optimal process of selected variables in the model, assembly variation can be identified.
In this contribution, we present a probabilistic process design approach to derive a robust, optimal process design.
Moreover pertaining to simultaneous multi-responses optimization, the maximum C2 selectivity and yield of 76.56% and 3.74%, respectively, were obtained at a unique optimal process parameters and catalyst compositions.
We present an application of optimal process synthesis approach to heterogeneously catalysed gas-phase reaction systems.
Furthermore, the main tradeoffs arisen in process design are well described with these models, which is always an objective of optimal process design.
