The solution
Volkswagen Group Logistics had a familiar supply-chain problem: supplier development mattered, but improvement teams and measures were limited. A simple ranking of bad suppliers could miss which fixes actually protected material flow.
The developed workflow combined Monte Carlo simulation with a knapsack model. Simulation estimated the disruption effect; the knapsack step selected the set of supplier-development measures that fit the available budget and capacity.
The paper validated the method on 18 existing less-than-truckload networks. IDEAS records the reported result: average cost savings of 31% compared with Volkswagen Group Logistics' previous procedure.
The neat move was translating a relationship-management problem into an investment-allocation problem without losing the operational detail of the inbound network.
What it achieved
Fund the fixes with the best risk yield
Why it worked
Monte Carlo simulation made supplier risk visible as network cost, not just a score.
The knapsack model forced tradeoffs among possible supplier fixes under real limits.
Testing on 18 live networks made the workflow practical rather than theoretical.
What can be applied
Supplier development works better when scarce help is allocated like a portfolio, not handed to whoever is loudest or weakest.
Aftermath
The work was published in INFORMS Journal on Applied Analytics in 2024. Its transferable pattern is to treat supplier-development attention as scarce capital and allocate it where disruption reduction is worth the most.
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