• In the transition to digital worker and enablement solutions using predictive analytics and remote monitoring, how much input does the end-user have in creating the ‘dashboard’?



  • Venkata Suryaprakash Digavalli, Belsim Engineering SA, suryaprakash.digavalli@belsim.com

    Performance monitoring is usually a zero foot print solution and the user could aggregate the performance over a specific period when he wants to review the equipment performance. It could usually be practiced to have a weekly summary of the SEUs (Significant Energy Users) and other critical equipment performance. The application however is computing the performance Indicators (KPIs) on an hourly basis.

    For predictive maintenance, based on the equipment performance profiles - warnings could be generated and maintenance activities could be prioritized or planned accordingly.

    Having stated the above, the applications' recommendations have to be executed by the operator to realize the benefits. These solutions will enable better decisions and empower the operators to go in right direction - but not replace them.



  • Alvin Chen, BASF Corporation, alvin.chen@basf.com

    Without defining the specific ‘dashboard’ in question, in general, as systems get to be more complex and automated, it becomes more important for staffers to monitor what the automation system is doing. This is especially important during the transition from a high level of human interaction to a lower level since the automation system will still be learning what it needs to do.

    From this standpoint, end-users must play an integral role in developing the dashboard, so they can monitor operations in a way that is efficient and requires minimum interaction with the automated system.



  • Ron Beck, AspenTech , ron.beck@aspentech.com

    In this area of situational awareness, decision-support systems (and we prefer to call them decision support rather than dashboards) are designed to support and assist end-users in making operating and strategic decisions. The best of these (for example, the situational awareness system from AspenTech’s OSI business) are designed for end-users to configure the visuals to their needs. They will need to be able to create displays ‘on-the-fly’ to help them quickly use the appropriate data and analytics to diagnose and solve operational problems faster and better.



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