Asset Intellect Solution for Downtime and OEE

Downtime and/or OEE is a significant focus for most production facilities. We cover how to drive improvements through deep downtime analysis.
Open pit mine

Downtime and/or OEE is a significant focus for most production facilities. Deeper downtime analysis can drive improvements based on accurately documenting how much lost production has occurred and the reasons for this. Often this is manually recorded and in many cases is inaccurate and/or subjective.

Downtime and its associated reporting can take many forms depending on the industry. Here are some examples:


This is commonly used in power generation and is based on reporting and classification standards. A key metric is the Forced Outage Rate which is the hours that a plant had unplanned downtime. This is expressed as a percentage of the total elapsed hours.

2. OEE

OEE or Overall Equipment Effectiveness provides a breakdown of availability, performance and quality or efficiency of production.


Generally, this is downtime with the added metric of lost production and the costs associated with the lost production.


A Time Usage Model provides a consistent reporting methodology of how a time period (e.g. a shift, day, or a month) is split across productive, unscheduled and scheduled downtime.   Tools like Power BI are a great way to visualise this type of information.  This model is common in the mining industry.

Asset Intellect along with PI Asset Framework collects and manages data to capture events using accurate time stamps directly from PI. Full capability is provided to set up initiation of downtime events, which automatically prompts operators to select reason codes. The layout and structure of how to categorize the downtime is completely configurable with multiple levels of reason codes and options to split events across multiple reason codes.

Not only does Asset Intellect provide reporting of the metrics defined above but it also has the ability to leverage your other operational data to understand the reasons behind the headline numbers.

Additional information can be attached to the event such as operator comments, screen capture, process data analysis, maintenance, photos, alarm and events and more.

From the downtime event navigate to an associated PI Vision screen to better understand the cause.

Organize all similar downtime events to analyse common causes with other sources of pertinent information.

Finally, this data can be validated and surfaced into an electronic logbook, shift handover notes or into reporting tools such as Power BI and Tableau.



Asset Intellect provides the complete visualisation of operational data with navigation built up to seamlessly move between applications within a single pane of glass.

Downtime is a key performance indicator but the immediate questions that follow are all contextual requiring seamless but simple integration to the underlaying data. It is this deep integration of all operational data that allows Asset Intellect customers to quickly analyse the underlaying causes of downtime, determine if this is a common reoccurring theme with an asset or mode of operation that can be rectified.

Asset Intellect provides a web based, easy to use solution that allows seamless collaboration between colleagues using the wiki feature and MS Teams integration.

Maximize availability, productivity and reliability of assets and identify root causes of failure quickly. Supplement your move to CBM and improve asset optimisation with fast accurate analysis.

Asset Intellect helps you to answer these questions:

Paul Garnham

Paul Garnham

As Business Development Manager at Dimension Software, I help industrial companies get the most out of their investment in the PI System and the surrounding ecosystem. My engineering background provides an appreciation of a range of industries including how Digital Transformation can be achieved leveraging existing investments with new technology. You can contact me at

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