Operational and real-time LHD dispatch at Rio Tinto’s Argyle Diamond Mine

Abstract

This paper describes the configuration and implementation of both real-time and operational modules of an equipment dispatch tool to Rio Tinto’s Argyle Diamonds. The tool, known as ORB, uses mathematical programming to optimise both operational equipment extraction node assignment, as well as real-time draw point dispatch. It is the first known optimisation-based, autonomous, real-time dispatch tool custom built for underground block cave mining operations. With ORB, Argyle Diamonds benefit from continuously and autonomously co-ordinating the optimal extraction node assignment and dispatch of LHDs in order to achieve a range of objectives while adhering to draw compliance and geotechnical constraints. The paper starts by outlining the pre-existing business planning process, detailing the simple logic that produced the daily draw order and equipment timeline. Next, the motivations for an optimisation-based decision-support tool are presented, drawing comparison to the limitations in existing planning processes. Following this, the optimisation tool developed is outlined, including the data it uses and the objectives it optimises. Finally, a case study of the implementation of the tool to Rio Tinto’s Argyle Diamonds is presented, detailing the benefits it has brought alongside the unique constraints of this heavily restricted block caving environment.