Processes automating with workflow

Wf-XML. Unlike the XML workflow specifications listed previously, this is a Web services API that defines process automation across heterogeneous implementation environments [WS2]. It has application to a work-flow client (such as a design tool or another workflow engine) to communicate with a workflow engine about what protocols are available and to upload and download process definitions. It extends the Asynchronous Service Access Protocol API from OASIS [WS3]. 

Automate processes with workflow. Consider using software to integrate applications. 

The advantage of this method is that LP now reflects the actual capabihties of the unit and not the perceived capabilities based historical data or correlations. In addition, if the rigorous simulation is updated alongside with plant retrofits, we can modify the LP model quickly to track these retrofits. The workflow we describe in Figure 4.36 is easy to integrate into existing process simulation and LP software. Aspen HYSYS Petroleum Refining includes tools to automate the workflow and export the updated DELTA-BASE vectors to Aspen PIMS (LP software) directly. This automahon allows quick updates of the LP model to accurately reflect unit performance. 

From the time when it was shovm that micro flow reactors can provide valuable contributions to organic chemistry, it was obvious to develop them further and their workflow towards modern screening techniques [20]. It was especially the finding of high reaction rates, the capability to transport and transform minute sample volumes and the first integration of analytics that paved the way to a parallelization of micro flow processing. These benefits were combined with the ease of automation of a micro flow system. By this means, the potential of on-line analysis of the reactions can be fully exploited. 

An important feature is that, with the exception of the catalyst synthesis, this is a fully automated process. Indeed, we envisage that in industry the entire process, including the synthesis and testing, can be automated using commercially available synthesis robots. If robotic synthesis and screening is available, the size of the test sets can be increased. Moreover, it is precisely the automated modelling and analysis aspect that is lacking in the robotic laboratory workflow. 

After a customer submits an order, it should follow certain steps (order administration) before it can be fulfilled. Order administration can combine human intervention with automatic administration by an information system. An order must be checked against business rules first. The next step is to determine the workflow needed to take an order from starting inventory stock to final product by selecting systems and processes required to achieve the final outcome specified by the request. The workflow may involve any combination of automated systems, stand-alone workstations, and manual operations. 

Integrating ERMS with automated laboratory information systems and clinical and nonclinical trials databases is a critical issue. Records and documents can come from laboratory devices as well as word processing, spreadsheet, database, e-mail, and web-based applications. An ERMS must integrate all of these functions into a cohesive workflow that prevents unauthorized access and logs all activity in an FDA compliant audit trail. 

We need evaluation to help distinguish what features and approaches are useful for particular use cases. We need theories to help explain these differences. Tools encode a workflow process and this process must align with the user s own internal process. By aligning these processes, we will be able to assist rather than hinder the user. We must incorporate a human in the loop, where the human is an essential component in the matching process. Helping to establish and harness this symbiotic relationship between human processes and the tool s automated process will allow people to work more efficiently and effectively, and afford them the time to concentrate on difficult tasks that are not easily automated. 

The identification of controlled substances is a good example where the usage of workflow tools is extremely helpful to automate well defined and recurrent processes. Once all data flows are defined and the workflow is set up and productive, the annotation is done completely automated. But in the end it still is the human individual who finally has to decide how to proceed with the findings. 

The workflow needs to be highly flexible with respect to triggered data manipulation actions, state control and other automated processes. 

The study by Chalcraft et al. suggests furthermore that with a refined computational prediction of ionization efficiencies from chemical structure or available physicochemical parameters some progress could be made towards a (semi)quanti-tative analysis of unknowns and suspects without reference standards (Chalcraft et al. 2009). To enable a non-target screening of environmental samples with several thousand peaks within a reasonable time frame, advanced software solutions are needed with capabilities for automated batch processing and fast database queries. At the moment, integration within handy workflows of software packages is mainly available in the field of metabolomics, which is only partly applicable to environmental samples. 

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