Optimization process results

What levels of the factors investigated are necessary to obtain optimized process results ... 

Figure 4. Process of modeling both time domain and frequency domain measurement data. The optimization process results in an adjusted parameter set P and an associated error. Together with the model equation the parameter set yields the fitting curve which is a reproduction of the measurement data.

Another common loss process results from electron—hole recombination. In this process, the photoexcited electron in the LUMO falls back into the HOMO rather than transferring into the conduction band. This inefficiency can be mitigated by using supersensitizing molecules which donate an electron to the HOMO of the excited sensitizing dye, thereby precluding electron—hole recombination. In optimally sensitized commercial products, dyes... 

The most commonly used stabilizers are barium, cadmium, zinc, calcium and cobalt salts of stearic acid phosphorous acid esters epoxy compounds and phenol derivatives. Using stabilizers can improve the heat and UV light resistance of the polymer blends, but these are only two aspects. The processing temperature, time, and the blending equipment also have effects on the stability of the products. The same raw materials and compositions with different blending methods resulted in products with different heat stabilities. Therefore, a thorough search for the optimal processing conditions must be done in conjunction with a search for the best composition to get the best results. 

As discussed above, it is important to try to optimize biological, physicochemical, and ADME properties in parallel. However, the data from all of these assays for the numerous compounds prepared by parallel synthesis make the interpretation of results challenging. The use of tools such as MVA helps in the effective utilization of all data in the optimization process. 

The properties of a pH electrode are characterized by parameters like linear response slope, response time, sensitivity, selectivity, reproducibility/accuracy, stability and biocompatibility. Most of these properties are related to each other, and an optimization process of sensor properties often leads to a compromised result. For the development of pH sensors for in-vivo measurements or implantable applications, both reproducibility and biocompatibility are crucial. Recommendations about using ion-selective electrodes for blood electrolyte analysis have been made by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) [37], IUPAC working party on pH has published IUPAC s recommendations on the definition, standards, and procedures... 

The main focus of the optimization process in PP/DS is the determination of production campaigns. On the basis of the results determined in SNP optimization, a detailed schedule which considers additional resources and products is created. This schedule is fully executable and there is no need for manual planner intervention, even though manual replanning and adjustments are fully supported within the PP/DS module. An executable plan can only be ensured by considering additional complex constraints in PP/DS optimization. These additional constraints include ... 

However, despite some quite good catalytic results it has become clear that the original resolution variant will be the optimal process for quite some time [70]. Several reasons are responsible for this situation, illustrating some of the issues when developing industrial processes as discussed earlier... 

Often two or more of these processes are combined as necessary to optimize the results. 

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