Overcome the Limits of your Legacy Plant Maintenance Systems

Webinar On-Demand

Meet the Speakers

Key Takeaways

⇨ Learn how to get closer to the “Perfect Plant” by addressing deficiencies in the quality and integrity of your data.

⇨ Understand how to connect your frontline workers to your maintenance systems and processes for real-time data capture.

⇨ Identify and overcome obstacles to achieving the “Perfect Plant”.

The “Perfect Plant” is something that everyone is working towards. Technology generally exists to support this model today.

If that is the case, then, what is keeping this from becoming the new reality? It all starts with data. The issue, however, is that the typical SAP Plant Maintenance environment does not have the quality of data required in order to truly leverage IOT, Automation, and other tools that may lead to making good decisions and taking predictive action.

Practically speaking there are barriers to achieving the “Perfect Plant” and these barriers can be viewed as evolutionary steps and begin with one thing: The elimination of paper (and other data gaps that are an extension of this). This, then extends into concepts of data integrity. The concept of having reliable and accurate data that can be leveraged by automated systems. This data integrity and elimination of paper require the same input: The “well” connected worker.

Most SAP Plant Maintenance environments do not have the quality of data required in order to truly leverage IOT, Automation and other tools that lead to taking predictive action.

The elimination of paper on the plant floor is the first step toward improving data quality. Typically that means implementing a mobile solution, but you need a new approach to mobile to overcome the likelihood of failure.

Join Sigga and register for this webinar to learn:

  • How to increase user adoption of mobile maintenance.
  • The best rollout plan for an enterprise-wide implementation.
  • How multiple plants implement different functionality based on unique needs.
  • Determine the process improvements needed for an ideal state of maintenance for each plant.

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