Operational Definitions and KPIs
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.
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.
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, JVA, Minera Yanacocha, Minetec, Modular Mining Systems, Newmont, OSIsoft, Peabody Energy, Rockwell Automation, Scania, Schneider Electric, 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