Operational Definitions and KPIs Project

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To develop standard definitions and terminology for production data and operational KPIs for reporting and classifying operational activities for surface mining, enabling a common basis for production reporting and performance comparisons.


This project aims to identify common surface mining operational activities, events, and statuses. It classifies these, contributed by participating companies, into a Time Usage Model, which forms the basis for standardized common key performance definitions and indicators. The draft Time Usage Model and definitions are circulating for revision.

Business Case

Performance improvement requires setting clear expectations and benchmarks and understanding where to find opportunities. This classification framework, by developing standard definitions and terminology will provide this necessary clarity around how activities are reported, enabling operators to compare their performance to industry peers.

This benchmark will help identify industry leaders and best practices leading to superior performance and collaboration, which will ultimately enable industry practices to improve continually, benefiting the collective industry.

Participating Companies

3D-P, Accenture, Alcoa, Ambuja Cements Germany, AngloGold Ashanti, Canadian Natural Resources, Centric Mining Systems, CheckMark Consulting, Dassault Systemes, Desert Falcon Consulting, Deswik, Flow Partners, Freeport-McMoRan, Global IO, Hexagon Mining, IBM, JDS Mining and Energy, JVA, Minera Yanacocha, Minetec, Modular Mining Systems, Newmont, OSIsoft, Peabody Energy, Rockwell Automation, Scania, Schneider Electric, Self-Employed, Sibanye-Stillwater, Siemens, SMART Systems Group, SSR Mining, Symbiotic Innovations, Teck, The Electrum Group, Trimble, Uku Tech Indonesia, University of Sao Paulo, Wenco, Wipro Consulting

Project Updates

Operational KPIs Guideline


The Data Access and Usage Working Group (DAU) has begun the review process of its Operational KPIs Guideline. Read more...