BOLTSurface MetalsCase Study

Maximizing NPV for an iron ore value chain using industrial mathematics

The Customer

The client is a leading global mining company with a world class portfolio of mining and processing operations and undeveloped resources. Its portfolio includes one of the world’s largest mining projects located in Brazil producing over 15 million tonnes annually.

The Problem

Planning teams are required to produce strategic and tactical plans which align production targets with contracted demand. The client wanted to explore optimization opportunities across the value chain to ultimately maximize the Net Present Value of the mine. They also wanted to better align production stakeholders to break-down departmental silos and improve organizational collaboration.

The Challenges

  • Time consuming process requiring manual entry of daily data into Excel to produce a weekly plan (8 hours)
  • Excel used to produce estimates for stockpile levels and attributes, no visibility over actuals
  • Without optimization, just meeting demand by filling vessel quotas
  • Tracking and optimizing supply of four qualities of ore product produced by the beneficiation plant

The Solution

Deswik deployed BOLT, a supply chain optimization decision support tool, resulting in:

  • A tactical tool that scopes projections from 3 months up to 1 year in advance to better track sales KPIs
  • A strategic tool that produces projections on production over a 5 year period to optimize sales portfolios over the longer term
  • A historian tool that tracks stockpile actuals to compare with planned projections over time to validate planning process

The Value

BOLT has helped reduce departmental silos by centralizing and automating planning efforts. This has resulted in greater visibility of stockpiles to align demand to production as well as make complex blending decisions to optimally fulfil vessel contracts.

10%

10%

Improvement to NPV

Senarios

Scenarios

Rapid what-if scenario planning now possible

50x

50x

Improvement to planning processes

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