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How to: Digitization

07.12.2018 Rebecca Pichler

If we have learnt one thing from the previous article about digitization and digital transformation, it is that digital transformation with its bright and down sides takes a lot of time, and that potential problems occuring in the progress are not necessarily to be judged negatively.

It is often the case that companies already fulfil all requirements for a digital development, but that the specific roadmap is still missing. It is thus not surprising that many companies are uncertain about this topic.

Gateway to the digital world

This was particularly noticeable to our employees from the Team Innovation and product development who designed an integrative procedure model which is supposed to facilitate the companies' way into the digital world. It is a kind of instrument which derives a strategy based on the present state of the company.

This digital model goes through a sort of cycle during which a question or a problem is at first being displayed in digital systems with SAPUI5, OPRA, HANA or S/4 HANA. Then, the connection of systems and processes via the integration of new data sources through IoT and cloud are on the schedule.

During the subsequent automation phase, keywords like condition based maintenance and data science come up, whereas the last stop is dedicated to the optimisation via AI and predictive maintenance.

From theory into practice

If this is not yet clear to you, you can relax and read on. Because our Team Innovation has developed a digital solution for a well-known problem based on this procedure model according to the motto "ah let's make this short".

We at IT-Informatik, and you probably as well, know the situation: at 8am the latest, it is difficult to get a parking spot close to the office. Trouble in the morning not only for those that have a hard time getting up, but particularly for commuters that have to deal with intense traffic and the resulting traffic jams.

Let us put the technical jargon into practice.

Basically, there is a problem, i.e. the lack of availability of car parks in the morning. And if we are already talking about digital transformation the solution is obvious: the car park is supposed to be displayed digitally in a system (SAP) and the parking spots are to be identified as such.

  • Digital display: The SAP system displays the car park as a technical place, i.e. as a kind of digital twin to our car park. Via a measure point, all occupied parking spots are being quantified. As a consequence, the necessary systemic display for all further steps is created. The data quality is raised, because it is now possible to process information about the car park in a more structured way.
  • Digital linking: The car park is at first recorded as a picture to later be able to measure all occupied parking spots. Here, the picture is being linked to the car park via the document info record of the technical object. The technical object app of the OPRA PM portfolio then provides a live picture and the recorded data. The application is available on premise as well as via the cloud.
    All in all, during this phase, systems and processes are being linked through the integration of new data sources. Consequently, you gain a more central access to solutions and the degree of utilization is being raised which accordingly leads to new possibilities.
  • Automisation: Here, a neural network comes into play which continuously is being trained to automatically detect occupied parking spots. After having been processed, the collected data is put back into the system where a measurement document of the technical object is created. Thereupon, first conclusions can be drawn or actions be derived, such as the installation of a traffic light function into the SAPUI5 app. A smart business is being created and response times are being reduced through the automisation and intelligent linking.
  • Optimisation: Eventually, predictions can be done by means of historic data, like the time when the last parking spot will be occupied. In addition, further informationen can be included: by integrating weather data or the factory calendar, the time of the last available parking spot can be calculated more accurately. The prediction can then be diffused by displaying it in an app or creating an RSS feed for an integration in the car. In general, it can be observed that proactive actions optimise processes, tasks are being taken over by artificial intelligence and response times are being reduced.

Not that theoretical anymore, is it? This use case shows how a company can lay the foundation for the digital transformation by deploying SAPUI6. This way, you are steeled for any possible problems mentioned in the previous article.

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