Process design performance measure

Assure processes are performed, measured, controlled, and documented as designed. 

The system uses independent filter wheels (Fig. 2) with up to 16 different filters for excitation (270-550 nm) and emission (310-590 nm) and performs measurements in steps of 20 nm, which was found to be most suitable without any loss of information. The number of measurements for each filter position can be individually chosen. Adapted to the different industrial processes, properties and steps of filters can be designed individually to cover most of the information potential. In addition it is possible to monitor single-wavelength pairs continuously. A high measuring frequency (10/s) enables in situ mixing time experiments for bioreactor characterization [49]. The singlewavelength pairs could be selected dependent of the available or suitable fluorophores. 

Optimization can be performed on many different time scales and levels, from production planning over the next year to determining optimal setpoints for a chemical process unit operation every minute. Typical optimization levels in the petrochemical industry include management decisions, process design, and plant operations. In these cases, the solution to the optimization problem will be the one that maximizes some measure of profit. An example of optimization applied to process design is determination of the optimum thickness of insulation for a given steam pipe installation, as shown in Fig. 3. 

Corresponding estimates for auxiliary parametric functions that the user may define. Such estimates may include alternative parameters, predicted process states, and performance measures for processes designed with the given models and data. 

---