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Figure 8.15. Fed-batch penicillin production process flow chart and profiles of process variables in G2 environment.

Figure 8.16. MV charts (and their interpretation by RTKBS) detecting out-of-control situation in real-time.

disturbance. As the batch proceeds, additional process variables may be affected. Figure 8.17 shows multivariate charts along with their RTKBS interpretation at the end of the batch. In addition to variable(s) that are diagnosed in real-time at the time of their deviation from NO (Figure 8.16), there are variables such as dissolved oxygen and penicillin concentrations diagnosed as having contributed to the deviation. This is due to aftereffect of the root cause of the deviation that is a temporary drift in the glucose feed. If the detection is delayed, the diagnosis effort must sort out all this additional information, by considering the time that they were listed and other characteristics. This underlines the importance of early detection for easier diagnosis. All of the results about the performance of the batch run such as whether it has gone out-of-control and the time of out-of-control occurrence, variables responsible to deviation from NO and a list of productivity and yield related measures are reported conveniently for the review of process operator (Figure 8.18). These results can also be stored for future reference and integrated with other software that monitors plant performance, supply chain management, and profitability.

Figure 8.17. MV charts and RTKBS findings at the end-of-batch.
Figure 8.18. RTKBS report including interpretation of MV charts at the end-of-batch.

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