Unlocking Seamless End-to-End Supply Chain Optimisation: Your Path to Efficiency and Excellence

About the guide

Today’s mining and resources sector is under pressure from all sides. Miners must meet growing demand for the minerals that drive decarbonisation. At the same time, they need to manage rising costs and skills shortages, address issues of licence to operate and decarbonise their own operations.

With pressure all around, many operators are looking to optimise their supply chains – the heart of their operations. Improving supply chain efficiency can reduce cost and carbon along the entire process, and benefits ripple out from suppliers to customers, multiple service providers, government, regulators and other stakeholders. End to end, mine-to-market optimisation can generate a 10-15% increase in earnings before interest, tax, depreciation and amortisation (EBITDA)[1] – a sizeable prize.

The challenge that many face, however, is that that their supply chains are treated as a series of operational siloes with limited communication or data exchange between stages making it almost impossible to see, understand or optimise the end-to-end process.

At idoba, we believe the answer is to use the power of advanced data science and related technologies to analyse data from every link in the supply chain, breaking down siloes and revealing previously hidden opportunities to improve overall operations.

This guide looks at the current state of a typical mining supply chain and how data science working with related techniques, like artificial intelligence (AI) and machine learning (ML), can help drive greater efficiency to reduce costs and carbon emissions.

[1] McKinsey (2020), https://www.mckinsey.com/industries/metals-and-mining/our-insights/the-mine-to-market-value-chain-a-hidden-gem