When a process demonstrates complex cause-and-effect relationships, adjustments are often used, such as automatic control (APC). On the other hand, statistical (SPC) is used to identify causes of abnormality. For example, we use charts for monitoring. However, in with adjustments, careful consideration should be taken toward choosing characteristics abnormalities may go undetected through sole ...

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Business process enactment is generally supported by information systems that record data about process executions, which can be extracted as event logs. Predictive process monitoring is concerned with exploiting such event logs to predict how running (uncompleted) cases will unfold up to their completion. In this paper, we propose a predictive process monitoring framework for estimating the pr...

Monitoring business processes is an important area in Business Process Management. This area not only supports monitoring but also enables flexibility. Thus, it has been investigated in many other areas like Business Activity Monitoring, Exception Handling, Aspect Oriented Business Process Management, etc. These areas require to define how a process instance should be monitored from different p...

Predictive process monitoring is concerned with the analysis of events produced during the execution of a process in order to predict the future state of ongoing cases thereof. Existing techniques in this field are able to predict, at each step of a case, the likelihood that the case will end up in an undesired outcome. These techniques, however, do not take into account what process workers ma...

In this work, an improved single-column chromatographic (ISCC) separation process is proposed. The term `improved' refers to both conceptual and physical modifications compared to the available single-column processes, including a novel fraction collection scheme and allowing overlapped peaks from adjacent cycles. Also the fraction collection mechanism was modified in order to facilitate online...