To develop common definitions and terminology for production data and operational KPIs and guidelines for reporting and classifying operational activities for surface mining, enabling a common basis for production reporting and performance comparisons.
The Operational KPIs and Definitions project was initiated by the Data Access and Usage Working Group out of a need to develop a standard terminology for KPIs and definitions around production data.
Operational activities and events are classified into a Time Usage Model (TUM), which forms the basis for standardized common key performance definitions and indicators. The guideline for classification and reporting of operational activity and status will provide clarity around how activity is reported and enable operators to compare their performance to industry peers.
There are three expected project deliverables:
- Identification of common surface mining operational activities, events and status.
- TUM which enables consistent reporting, classification of operational events and activities.
- Definitions for common industry performance measures.
Operational events and definitions, contributed by participating companies were combined into a consensus TUM. The draft TUM is now in use as a pilot to capture operational activities.
Current project objectives are:
- Validate application of the TUM.
- Validate the list of operating activities and statuses.
- Roll out TUM to GMSG members for further feedback.
- Confirm standard definitions for terminology and operational KPIs.
- Confirm the TUM integrates with existing automated equipment dispatch systems.
Performance improvement requires setting clear expectations and benchmarks and understanding where to find opportunities for improving performance in an operation.
The TUM is a production model which identifies and classifies operational activities, events and statuses into standardized time categories which are the basis for operational KPIs. Standardized definitions and terminology provide clarity when activities and events are being reported.
Agreeing on a common basis for classification of operational events, identifying common events into consistent classifications and agreed on time categories and performance definitions, enables comparison of performance among industry peers and helps identify industry leaders and best practices.
Benchmarking among industry peers to identify practices which lead to superior performance and collaboration toward continuous improvement of industry practices contributes to raising the bar on collective industry performance.