案例库 · 工程与运营 · 财务决策 · 2016–2018
这条还没译成中文，下面是英文原文。
Simulation cut $300M from BHP's Jansen potash mine and added $500M in value.
A discrete-event model of mining and logistics let BHP drop capital spend and lift output 15–20%, earning board approval to advance Jansen.
BHP
那一手
BHP's first potash venture, the Jansen mine in Saskatchewan, needed a prefeasibility study. With Amec Foster Wheeler, the project team built DICE, a comprehensive discrete-event simulation of upstream production and downstream logistics.
DICE showed where capacity really came from: it justified removing about $300 million of capital for a second hoisting shaft, cutting planned maintenance and increasing mining automation. Stage-1 annual production was estimated to rise 15–20 percent, two-thirds of the gain credited to the model.
That extra output added $500 million to the project's net present value and helped the board move Jansen from prefeasibility to feasibility. INFORMS named the work a 2017 Edelman finalist.
为什么管用
- Simulating the whole chain exposes bottlenecks that spreadsheet estimates miss.
- Evidence from the model made cost cuts and automation proposals board-ready.
- The same model tested storage, redundancy, bypasses and operating practice cheaply.
可以搬走什么
Before committing capital, simulate the whole production and logistics chain: the model pays for itself by finding spend that never needs to happen.
后来呢
Jansen stayed in feasibility study while potash prices stayed weak, and the team published follow-up work on benefits realized from the model. BHP later advanced the project under its revised strategy, with DICE-derived design choices still shaping the operation.
资料来源
- 2017 INFORMS Franz Edelman Award Finalists Selected (via Internet Archive)
- Discrete-Event Simulation Modeling Unlocks Value for the Jansen Potash Project (Interfaces 48(1), 2018, via Internet Archive)
- BHP delays decision on Jansen potash mine
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