InSite – Bridging the gap between Mine Planning KPI’s and actual/event KPI’s.

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InSite Plan v Actual KPI Configuration.

One of the key value propositions of GEOVIA InSite’s Mine + Plant Production Management offering is that it’s core design, architecture, and intent is for ‘bridging the gap’ between mine planning KPIs and actual/event KPIs.

For every activity/event that our customers measure and track in InSite as actual, we try to encourage them to incorporate the planned/target value for each KPI.

 

KPI Configuration

In InSite, a KPI is some value (a number or text value – the ‘what’), and attributes that describe the value (i.e. ‘who’, ‘when’, ‘where’). This definition is true for both planned and actual. In a perfect world, planned and actual KPIs would be described in exactly the same way, but typically planning geologists and engineers and execution engineers describe things somewhat differently, and that is perfectly OK and often for good reasons.

The best way to configure KPIs in InSite for ‘apples to apples’ comparisons, is to do so at the lowest level of detail that is possible. Here is an illustration for a common KPI, PAYLOAD – VOLUME (BCM):


 

Notice with a configuration as above, we are providing many ways to compare the one piece of information (roughly 100x 120BCM Truck Loads of material moved), and we haven’t allowed any restrictions (to the extent of the information that is available).

We can’t compare the KPI by Bench because in this case it is not planned in advance (at least not from a budget/forecast perspective), but we can compare by Pit Phase. We can’t compare by Material Seam, but we can compare by Material Type. We can’t compare by Operator, but we can compare by Crew. We can’t compare by specific Truck units, but we can compare by Fleet.

The example is only one type of KPI and InSite allows each KPI to be configured according to user needs. This provides maximum flexibility.

 

Multiple Plan/Actual KPIs

Keep in mind, there are several different types of planned and actual KPIs you may manage, and InSite can be configured to capture and report all of them. For example, you may have:

In this example, users may wish to report on both plan types and both actual types all at once, in a month-end reconciliation report for example.

 

Data Sources

Lastly, It’s important to think about how you will source all of your Planned and Actual KPI information. For end-to-end coverage, InSite consultants can help you to read information from spreadsheets, databases, and existing systems and applications. For example, you may have:

In this example, planned/actual volumes and actual maintenance hours are comping from operations teams and processes, whereas maintenance targets are coming from the maintenance department.

 

Maximum Value

Taking time to map everything out and think about the big picture, while also building out and delivering the value incrementally, will enable end-users to build reports and dashboards that describe exactly the KPI they wish to describe in exactly the way they would like to describe it.

InSite’s drag-and-drop visualization capabilities (and other off-the-shelf BI/visualization tool capabilities) will present the most power to end-users when you have a well-considered Planned and Actual KPI configuration (ideally from Mine to Mill). For example, you may have:

 

In this example, an end-user is able to view MTD Budget/Actual payload by day as a dashboard on their home page, or as a real-time display in a control room or technical services area of the mine.

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Shaun Macrae

Shaun Macrae

Senior Business Analyst/Project Manager, GEOVIA at Dassault Systèmes
Shaun MacRae delivers Enterprise Mine Production Management solutions to the mining industry in North America. He has been working in the mining systems consulting space for the past 10 years, deploying Enterprise Mining solutions in Canada, Mexico, Bulgaria, Australia, South Africa, and the United States. Shaun is currently based in Alberta, Canada and specializes in GEOVIA InSite, Enterprise Architecture, and Project Management for highly scalable Mining Software deployments.