Developing Automation Process

Objective

After completing this lesson, you will be able to analyze the process for developing automation.

Development of Production Processes

In SAP DM projects, the development of production processes usually runs through four phases. The phases are design, deploy, monitor, and optimize. Usually, you have rater quick cycles in which the processes are developed. From cycle to cycle, you may add additional functions or correct bugs from the previous rounds.

A diagram depicting a continuous loop process. A conveyor belt with five segments carries a stack of three blocks. An arrow to the right of the blocks indicates forward movement. Curved arrows encircle the conveyor belt, pointing clockwise to represent the cyclical nature of the process.

The cycle starts with the Modeling and Design phase. In this phase, the modeling of equipment models is done, and other connections to sounding systems are done. Then, design the production processes by dragging and dropping into the modeling canvas.

If an initial version of the production process is developed, it can be deployed and activated. In this step, the new version becomes executable. The cloud processes are deployed in the cloud run time, and the machine integrations are distributed to the production connector, so it can run locally on the plant's network afterward. Everything is then activated together.

When the production process is deployed and activated, the Monitoring, Logging & Debugging phase starts. In this phase, you check if the production process does what it is supposed to be doing. To do this, log levels can be set and logs can be analyzed. If you notice one of your production processes has a bug, you can use the debugging function to understand the details and identify the root causes. Later when you have finished the development, the production processes are still monitored, so new issues can be found as well.

The last phase of the cycle is the optimization. In the case that you have performance-critical processes, you have now gained the first insight into execution times from the monitoring phase. If the performance is not good enough, you can now try to restructure the process for a better performance.

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