Traditional process and rule systems
The traditional approach to optimization in process and decision support systems is to model the problem using a framework (e.g. business processes, business rules, or a combination of the two), integrate the model to the necessary data sources, deploy and execute the model using an engine that understands the model, observe and analyze the execution over time using integrated monitoring and analytics tools, identify bottlenecks and issues in the model, modify the model to address the issues, and redeploy it. This iterative process can be represented with Figure 1 below. For more on this refer to my article on BPM.
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