The solution
Intel spends more than $5 billion annually on manufacturing equipment, whose supplier lead times keep growing while market demand becomes harder to forecast.
Intel developed a capital supply chain velocity program to manage ordering, shipping and installation of production equipment.
At its core is a procurement framework that buys options from suppliers for faster delivery of some equipment, blending statistical forecasting, Monte Carlo simulation and stochastic programming to decide how many options to reserve and exercise.
The program delivered hundreds of millions of dollars in cost savings and at least $2 billion in revenue upside during a period of global economic crisis.
What it achieved
Buy options on equipment, not just equipment
Why it worked
Options bought flexibility without paying full capital cost upfront.
Stochastic programming priced the trade-off between speed and cost.
Scenario and sensitivity analysis supported contract negotiations.
Hedging capacity protected revenue when demand surprised upward.
What can be applied
When demand is volatile and lead times long, hedge capacity with options rather than committing early; forecast plus simulation plus stochastic programming prices the hedge.
Aftermath
Intel's work was named a 2012 Franz Edelman Award finalist (the award went to TNT Express that year); the Interfaces paper documents the velocity program's design and measured results.
FOLLOW THE EVIDENCE
The sources
- Optimizing Capital Investment Decisions at Intel Corporation ideas.repec.org
- TNT Express wins Franz Edelman Award logisticsmatter.com
- Optimizing Capital Investment Decisions at Intel Corporation pubsonline.informs.org