Page 209 - Intelligent Digital Oil And Gas Fields

Workflow Automation and Intelligent Control 163

Fig. 5.8 The most important steps to build the back end of an automated workflow.

related organizations that perform the tasks. These graphical tools are not
only vital to help identify the critical path, decision points required for
the output or the result, but also to help identify problems and bottle-
necks, which it will aim to resolve by automation.
Step 2: Quantify and measure KPIs for the manual processes. Measure time,
quality, and quantity of the results, accuracy, and repeatability and com-
pare it with KPIs for the desired goals of your organization. (After the
process has been automated you might look to improve it by looking
at the goals of competitors or world-class benchmark performance.)
The KPIs can be visualized using different types of gauges, charts, and
bar graphs to show engineers how well the system is doing against
defined targets.
Step 3: Break down the activities and prepare to reengineer the whole process.
Separate the process into subtasks and set up KPIs for each one. Identify
ownership and custodian for each task. Understand the main input in
terms of data frequency and logical rules. A swim lane diagram can be
useful tool for capturing the data from your analysis. It is important
to break down the main activities into subtasks and who (what role
or organization) performs each task.