Integrated optimisation solution: an innovative approach to mining operational success

Abstract

Mining companies have historically applied a combination of point solutions and local optimisation models within functions such as exploration, planning, operations and maintenance. Normally, multifaceted reports are created to guide downstream processes (often the next step in the mine value chain), or to inform upstream processes of opportunities to make corrections or for future process improvements. This traditional approach has limitations often associated with miscommunication of essential data and information,
timeliness of the communications, impediments to effective collaboration that lead to wasted resources and time, increased energy consumption, increased risks to process quality, and increased risks to production.
New technological advances have created solutions that can help to address these problems. Development of an integrated optimisation model based on advanced data analysis methods can potentially create a solution that can enable improvements across the whole pit-to-port value chain. Specially designed to eliminate the costly inefficiencies arising from local legacy solutions, advanced data analytics
solutions maximise the value of data generated throughout the mining value chain and facilitate more effective collaboration across the enterprise. As an example, this approach can provide operations and maintenance teams with visibility of overall performance and highlight critical performance drivers throughout the entire mining value chain. The opportunity this presents is to identify and correct in-flight processes and optimise business performance.

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